def setE0WithThermo(self): """ Helper method that sets species' E0 using the species' thermo data """ if self.getThermoData().E0 is not None: self.conformer.E0 = self.getThermoData().E0 else: if not self.thermo.Cp0 or not self.thermo.CpInf: # set Cp0 and CpInf from rmgpy.data.thermo import findCp0andCpInf findCp0andCpInf(self, self.thermo) self.conformer.E0 = self.getThermoData().toWilhoit().E0
def setE0WithThermo(self): """ Helper method that sets species' E0 using the species' thermo data """ if self.getThermoData().E0 is not None: self.conformer.E0 = self.getThermoData().E0 else: if not self.thermo.Cp0 or not self.thermo.CpInf: # set Cp0 and CpInf from rmgpy.data.thermo import findCp0andCpInf findCp0andCpInf(self, self.thermo) self.conformer.E0 = self.getThermoData().toWilhoit().E0
def run(inputFile, outputDir, original=None, maximumIsotopicAtoms = 1, useOriginalReactions = False, kineticIsotopeEffect = None): """ Accepts one input file with the RMG-Py model to generate. Firstly, generates the RMG model for the first input file. Takes the core species of that mechanism and generates all isotopomers of those core species. Next, generates all reactions between the generated pool of isotopomers, and writes it to file. """ logging.info("isotope: Starting the RMG isotope generation method 'run'") if not original: logging.info("isotope: original model not found, generating new one in directory `rmg`") logging.info("isotope: check `rmg/RMG.log` for the rest of the logging info.") outputdirRMG = os.path.join(outputDir, 'rmg') os.mkdir(outputdirRMG) rmg = generate_RMG_model(inputFile, outputdirRMG) else: logging.info("isotope: original model being copied from previous RMG job in folder {}".format(original)) outputdirRMG = original chemkinFile = os.path.join(outputdirRMG, 'chemkin', 'chem_annotated.inp') dictFile = os.path.join(outputdirRMG, 'chemkin', 'species_dictionary.txt') rmg = loadRMGJob(inputFile, chemkinFile, dictFile, generateImages=False, useChemkinNames=True) logging.info("isotope: generating isotope model") logging.info('Generating isotopomers for the core species in {}'.format(outputdirRMG)) isotopes = [] logging.info("isotope: adding all the new and old isotopomers") for spc in rmg.reactionModel.core.species: findCp0andCpInf(spc, spc.thermo) isotopes.append([spc] + generate_isotopomers(spc, maximumIsotopicAtoms)) logging.info('isotope: number of isotopomers: {}'.format(sum([len(isotopomer) for isotopomer in isotopes if isotopomer]))) outputdirIso = os.path.join(outputDir, 'iso') os.mkdir(outputdirIso) logging.info('isotope: Generating RMG isotope model in {}'.format(outputdirIso)) generate_isotope_model(outputdirIso, rmg, isotopes, useOriginalReactions = useOriginalReactions, kineticIsotopeEffect = kineticIsotopeEffect)
def run(inputFile, outputDir, original=None, maximumIsotopicAtoms = 1, useOriginalReactions = False, kineticIsotopeEffect = None): """ Accepts one input file with the RMG-Py model to generate. Firstly, generates the RMG model for the first input file. Takes the core species of that mechanism and generates all isotopomers of those core species. Next, generates all reactions between the generated pool of isotopomers, and writes it to file. """ logging.info("isotope: Starting the RMG isotope generation method 'run'") if not original: logging.info("isotope: original model not found, generating new one in directory `rmg`") logging.info("isotope: check `rmg/RMG.log` for the rest of the logging info.") outputdirRMG = os.path.join(outputDir, 'rmg') os.mkdir(outputdirRMG) rmg = generate_RMG_model(inputFile, outputdirRMG) else: logging.info("isotope: original model being copied from previous RMG job in folder {}".format(original)) outputdirRMG = original chemkinFile = os.path.join(outputdirRMG, 'chemkin', 'chem_annotated.inp') dictFile = os.path.join(outputdirRMG, 'chemkin', 'species_dictionary.txt') rmg = loadRMGJob(inputFile, chemkinFile, dictFile, generateImages=False, useChemkinNames=True) logging.info("isotope: generating isotope model") logging.info('Generating isotopomers for the core species in {}'.format(outputdirRMG)) isotopes = [] logging.info("isotope: adding all the new and old isotopomers") for spc in rmg.reactionModel.core.species: findCp0andCpInf(spc, spc.thermo) isotopes.append([spc] + generate_isotopomers(spc, maximumIsotopicAtoms)) logging.info('isotope: number of isotopomers: {}'.format(sum([len(isotopomer) for isotopomer in isotopes if isotopomer]))) outputdirIso = os.path.join(outputDir, 'iso') os.mkdir(outputdirIso) logging.info('isotope: Generating RMG isotope model in {}'.format(outputdirIso)) generate_isotope_model(outputdirIso, rmg, isotopes, useOriginalReactions = useOriginalReactions, kineticIsotopeEffect = kineticIsotopeEffect)
def reconstructKineticsFromSource(self, reaction, source, fixBarrierHeight=False, forcePositiveBarrier=False): """ Reaction is the original reaction with original kinetics. Note that for Library and PDep reactions this function does not do anything other than return the original kinetics... You must enter source data in the appropriate format such as returned from returned from self.extractSourceFromComments, self-constructed. fixBarrierHeight and forcePositiveBarrier will change the kinetics based on the Reaction.fixBarrierHeight function. Return Arrhenius form kinetics if the source is from training reaction or rate rules. """ from rmgpy.data.thermo import findCp0andCpInf from rmgpy.thermo import Wilhoit if 'Library' in source: return reaction.kinetics elif 'PDep' in source: return reaction.kinetics else: rxnCopy = deepcopy(reaction) if 'Training' in source: trainingEntry = source['Training'][1] reverse = source['Training'][2] if reverse: reverseKinetics = trainingEntry.data rxnCopy.kinetics = reverseKinetics forwardKinetics = rxnCopy.generateReverseRateCoefficient() kinetics = forwardKinetics else: kinetics = trainingEntry.data elif 'Rate Rules' in source: sourceDict = source['Rate Rules'][1] rules = sourceDict['rules'] training = sourceDict['training'] degeneracy = sourceDict['degeneracy'] logA = 0 n = 0 alpha = 0 E0 = 0 for ruleEntry, weight in rules: logA += numpy.log10(ruleEntry.data.A.value_si) * weight n += ruleEntry.data.n.value_si * weight alpha += ruleEntry.data.alpha.value_si * weight E0 += ruleEntry.data.E0.value_si * weight for ruleEntry, trainingEntry, weight in training: logA += numpy.log10(ruleEntry.data.A.value_si) * weight n += ruleEntry.data.n.value_si * weight alpha += ruleEntry.data.alpha.value_si * weight E0 += ruleEntry.data.E0.value_si * weight Aunits = ruleEntry.data.A.units if Aunits == 'cm^3/(mol*s)' or Aunits == 'cm^3/(molecule*s)' or Aunits == 'm^3/(molecule*s)': Aunits = 'm^3/(mol*s)' elif Aunits == 'cm^6/(mol^2*s)' or Aunits == 'cm^6/(molecule^2*s)' or Aunits == 'm^6/(molecule^2*s)': Aunits = 'm^6/(mol^2*s)' elif Aunits == 's^-1' or Aunits == 'm^3/(mol*s)' or Aunits == 'm^6/(mol^2*s)': pass else: raise Exception( 'Invalid units {0} for averaging kinetics.'.format( Aunits)) kinetics = ArrheniusEP( A=(degeneracy * 10**logA, Aunits), n=n, alpha=alpha, E0=(E0 * 0.001, "kJ/mol"), ) else: raise Exception( "Source data must be either 'Library', 'PDep','Training', or 'Rate Rules'." ) # Convert ArrheniusEP to Arrhenius if fixBarrierHeight: for spc in rxnCopy.reactants + rxnCopy.products: # Need wilhoit to do this if not isinstance(spc.thermo, Wilhoit): findCp0andCpInf(spc, spc.thermo) wilhoit = spc.thermo.toWilhoit() spc.thermo = wilhoit rxnCopy.kinetics = kinetics rxnCopy.fixBarrierHeight(forcePositive=forcePositiveBarrier) return rxnCopy.kinetics else: H298 = rxnCopy.getEnthalpyOfReaction(298) if isinstance(kinetics, ArrheniusEP): kinetics = kinetics.toArrhenius(H298) return kinetics
def reconstructKineticsFromSource(self, reaction, source, fixBarrierHeight=False, forcePositiveBarrier=False): """ Reaction is the original reaction with original kinetics. Note that for Library and PDep reactions this function does not do anything other than return the original kinetics... You must enter source data in the appropriate format such as returned from returned from self.extractSourceFromComments, self-constructed. fixBarrierHeight and forcePositiveBarrier will change the kinetics based on the Reaction.fixBarrierHeight function. Return Arrhenius form kinetics if the source is from training reaction or rate rules. """ from rmgpy.data.thermo import findCp0andCpInf from rmgpy.thermo import Wilhoit if 'Library' in source: return reaction.kinetics elif 'PDep' in source: return reaction.kinetics else: rxnCopy = deepcopy(reaction) if 'Training' in source: trainingEntry = source['Training'][1] reverse = source['Training'][2] if reverse: reverseKinetics = trainingEntry.data rxnCopy.kinetics = reverseKinetics forwardKinetics = rxnCopy.generateReverseRateCoefficient() kinetics = forwardKinetics else: kinetics = trainingEntry.data elif 'Rate Rules' in source: sourceDict = source['Rate Rules'][1] rules = sourceDict['rules'] training = sourceDict['training'] degeneracy = sourceDict['degeneracy'] logA = 0 n = 0 alpha = 0 E0 = 0 for ruleEntry, weight in rules: logA += numpy.log10(ruleEntry.data.A.value_si)*weight n += ruleEntry.data.n.value_si*weight alpha +=ruleEntry.data.alpha.value_si*weight E0 +=ruleEntry.data.E0.value_si*weight for ruleEntry, trainingEntry, weight in training: logA += numpy.log10(ruleEntry.data.A.value_si)*weight n += ruleEntry.data.n.value_si*weight alpha +=ruleEntry.data.alpha.value_si*weight E0 +=ruleEntry.data.E0.value_si*weight Aunits = ruleEntry.data.A.units if Aunits == 'cm^3/(mol*s)' or Aunits == 'cm^3/(molecule*s)' or Aunits == 'm^3/(molecule*s)': Aunits = 'm^3/(mol*s)' elif Aunits == 'cm^6/(mol^2*s)' or Aunits == 'cm^6/(molecule^2*s)' or Aunits == 'm^6/(molecule^2*s)': Aunits = 'm^6/(mol^2*s)' elif Aunits == 's^-1' or Aunits == 'm^3/(mol*s)' or Aunits == 'm^6/(mol^2*s)': pass else: raise Exception('Invalid units {0} for averaging kinetics.'.format(Aunits)) kinetics = ArrheniusEP( A = (degeneracy*10**logA, Aunits), n = n, alpha = alpha, E0 = (E0*0.001,"kJ/mol"), ) else: raise Exception("Source data must be either 'Library', 'PDep','Training', or 'Rate Rules'.") # Convert ArrheniusEP to Arrhenius if fixBarrierHeight: for spc in rxnCopy.reactants + rxnCopy.products: # Need wilhoit to do this if not isinstance(spc.thermo, Wilhoit): findCp0andCpInf(spc, spc.thermo) wilhoit = spc.thermo.toWilhoit() spc.thermo = wilhoit rxnCopy.kinetics = kinetics rxnCopy.fixBarrierHeight(forcePositive=forcePositiveBarrier) return rxnCopy.kinetics else: H298 = rxnCopy.getEnthalpyOfReaction(298) if isinstance(kinetics, ArrheniusEP): kinetics = kinetics.toArrhenius(H298) return kinetics