def generateRules(family, database):
"""
For a given reaction `family` label, generate additional rate rules from
the corresponding depository training set. This function does automatically
what users used to do by hand to construct a rate rule from reaction
kinetics found in the literature, i.e. determine the groups involved,
adjust to a per-site basis, etc.
"""
# Load rules and determine starting index
rules = family.rules
index = max([entry.index for entry in rules.entries.values()] or [0]) + 1
# Load training entries
for depository in family.depositories:
if 'training' in depository.name:
entries = sorted(depository.entries.values(),
key=lambda entry: (entry.index, entry.label))
break
# Generate a rate rule for each training entry
for entry in entries:
# Load entry's reaction, template, and kinetics
reaction, template = database.kinetics.getForwardReactionForFamilyEntry(entry=entry,
family=family.name,
thermoDatabase=database.thermo)
kinetics = reaction.kinetics
# Convert KineticsData to Arrhenius
if isinstance(kinetics, KineticsData):
kinetics = Arrhenius().fitToData(Tdata=kinetics.Tdata.values,
kdata=kinetics.kdata.values,
kunits=kinetics.kdata.units,
T0=1)
# Ignore other kinetics types
if not isinstance(kinetics, Arrhenius):
continue
# Change reference temperature to 1 K if necessary
if kinetics.T0.value != 1:
kinetics = kinetics.changeT0(1)
# Convert kinetics to a per-site basis
kinetics.A.value /= reaction.degeneracy
# Convert to ArrheniusEP
kinetics = ArrheniusEP(A=kinetics.A,
n=kinetics.n,
alpha=0,
E0=kinetics.Ea,
Tmin=kinetics.Tmin,
Tmax=kinetics.Tmax)
# Add new rate rule
rules.entries[index] = Entry(index=index,
label=';'.join([group.label for group in template]),
item=Reaction(reactants=template[:],
products=None),
data=kinetics,
reference=entry.reference,
rank=entry.rank,
shortDesc=entry.shortDesc,
longDesc=entry.longDesc,
history=entry.history)
index += 1
def generateAdditionalRateRules(family, database):
"""
For a given reaction `family` label, generate additional rate rules from
the corresponding depository training set. This function does automatically
what users used to do by hand to construct a rate rule from reaction
kinetics found in the literature, i.e. determine the groups involved,
adjust to a per-site basis, etc.
"""
# Find the database components we will need
rules = database.kinetics.depository['{0}/rules'.format(family)]
groups = database.kinetics.groups[family]
index = max([entry.index for entry in rules.entries.values()]) + 1
for depositoryLabel in ['training']:
depository = database.kinetics.depository['{0}/{1}'.format(family, depositoryLabel)]
entries = depository.entries.values()
entries.sort(key=lambda x: (x.index, x.label))
for entry0 in entries:
reaction, template = database.kinetics.getForwardReactionForFamilyEntry(entry=entry0, family=family, thermoDatabase=database.thermo)
# We must convert the kinetics to ArrheniusEP to finish our rate rule
kinetics = reaction.kinetics
# If kinetics are KineticsData, then first convert to Arrhenius
if isinstance(kinetics, KineticsData):
kinetics = Arrhenius().fitToData(
Tdata=kinetics.Tdata.values,
kdata=kinetics.kdata.values,
kunits=kinetics.kdata.units,
T0=1,
)
# Now convert from Arrhenius to ArrheniusEP
# If not Arrhenius (or KineticsData), then skip this entry
if isinstance(kinetics, Arrhenius):
if kinetics.T0.value != 1:
kinetics.changeT0(1)
kinetics = ArrheniusEP(
A = kinetics.A,
n = kinetics.n,
alpha = 0,
E0 = kinetics.Ea,
Tmin = kinetics.Tmin,
Tmax = kinetics.Tmax,
)
else:
break
# Put the kinetics on a per-site basis
kinetics.A.value /= reaction.degeneracy
# Construct a new entry for the new rate rule
label = ';'.join([group.label for group in template])
item = Reaction(
reactants = template[:],
products = None,
)
entry = Entry(
index = index,
label = label,
item = item,
data = kinetics,
reference = entry0.reference,
rank = entry0.rank,
shortDesc = entry0.shortDesc,
longDesc = entry0.longDesc,
history = entry0.history,
)
# Add the new rate rule to the depository of rate rules
rules.entries[entry.index] = entry
index += 1
def generateRules(family, database):
"""
For a given reaction `family` label, generate additional rate rules from
the corresponding depository training set. This function does automatically
what users used to do by hand to construct a rate rule from reaction
kinetics found in the literature, i.e. determine the groups involved,
adjust to a per-site basis, etc.
"""
# Load rules and determine starting index
rules = family.rules
index = max([entry.index for entry in rules.entries.values()] or [0]) + 1
# Load training entries
for depository in family.depositories:
if 'training' in depository.name:
entries = sorted(depository.entries.values(),
key=lambda entry: (entry.index, entry.label))
break
# Generate a rate rule for each training entry
for entry in entries:
# Load entry's reaction, template, and kinetics
reaction, template = database.kinetics.getForwardReactionForFamilyEntry(
entry=entry, family=family.name, thermoDatabase=database.thermo)
kinetics = reaction.kinetics
# Convert KineticsData to Arrhenius
if isinstance(kinetics, KineticsData):
kinetics = Arrhenius().fitToData(Tdata=kinetics.Tdata.values,
kdata=kinetics.kdata.values,
kunits=kinetics.kdata.units,
T0=1)
# Ignore other kinetics types
if not isinstance(kinetics, Arrhenius):
continue
# Change reference temperature to 1 K if necessary
if kinetics.T0.value != 1:
kinetics = kinetics.changeT0(1)
# Convert kinetics to a per-site basis
kinetics.A.value /= reaction.degeneracy
# Convert to ArrheniusEP
kinetics = ArrheniusEP(A=kinetics.A,
n=kinetics.n,
alpha=0,
E0=kinetics.Ea,
Tmin=kinetics.Tmin,
Tmax=kinetics.Tmax)
# Add new rate rule
rules.entries[index] = Entry(index=index,
label=';'.join(
[group.label for group in template]),
item=Reaction(reactants=template[:],
products=None),
data=kinetics,
reference=entry.reference,
rank=entry.rank,
shortDesc=entry.shortDesc,
longDesc=entry.longDesc,
history=entry.history)
index += 1
