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Improve Rule Generation #2277

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27 changes: 10 additions & 17 deletions rmgpy/kinetics/arrhenius.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -611,27 +611,24 @@ cdef class ArrheniusBM(KineticsModel):
if len(rxns) == 1:
T = 1000.0
rxn = rxns[0]
dHrxn = rxn.get_enthalpy_of_reaction(T)
dHrxn = rxn.get_enthalpy_of_reaction(298.0)
A = rxn.kinetics.A.value_si
n = rxn.kinetics.n.value_si
Ea = rxn.kinetics.Ea.value_si

def kfcn(E0):
Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
return out

if abs(dHrxn) > 4 * w0 / 10.0:
E0 = w0 / 10.0
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can you explain why removing this? (in the commit message, ideally)

else:
E0 = fsolve(kfcn, w0 / 10.0)[0]
E0 = fsolve(kfcn, w0 / 10.0)[0]

self.Tmin = rxn.kinetics.Tmin
self.Tmax = rxn.kinetics.Tmax
self.solute = None
self.comment = 'Fitted to {0} reaction at temperature: {1} K'.format(len(rxns), T)
else:
# define optimization function
# define optimization function
def kfcn(xs, lnA, n, E0):
T = xs[:,0]
dHrxn = xs[:,1]
Expand All @@ -640,7 +637,7 @@ cdef class ArrheniusBM(KineticsModel):
Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea)
Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea)
return lnA + np.log(T ** n * np.exp(-Ea / (8.314 * T)))

# get (T,dHrxn(T)) -> (Ln(k) mappings
xdata = []
ydata = []
Expand All @@ -649,7 +646,7 @@ cdef class ArrheniusBM(KineticsModel):
# approximately correct the overall uncertainties to std deviations
s = rank_accuracy_map[rxn.rank].value_si/2.0
for T in Ts:
xdata.append([T, rxn.get_enthalpy_of_reaction(T)])
xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)])
ydata.append(np.log(rxn.get_rate_coefficient(T)))

sigmas.append(s / (8.314 * T))
Expand Down Expand Up @@ -1547,9 +1544,8 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
w0 = sum(w0s) / len(w0s)

if len(rxns) == 1:
T = 1000.0
rxn = rxns[0]
dHrxn = rxn.get_enthalpy_of_reaction(T)
dHrxn = rxn.get_enthalpy_of_reaction(298.0)
A = rxn.kinetics.A.value_si
n = rxn.kinetics.n.value_si
Ea = rxn.kinetics.Ea.value_si
Expand All @@ -1559,14 +1555,11 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
return out

if abs(dHrxn) > 4 * w0 / 10.0:
E0 = w0 / 10.0
else:
E0 = fsolve(kfcn, w0 / 10.0)[0]
E0 = fsolve(kfcn, w0 / 10.0)[0]

self.Tmin = rxn.kinetics.Tmin
self.Tmax = rxn.kinetics.Tmax
self.comment = 'Fitted to {0} reaction at temperature: {1} K'.format(len(rxns), T)
self.comment = 'Fitted to 1 reaction'
else:
# define optimization function
def kfcn(xs, lnA, n, E0):
Expand All @@ -1586,7 +1579,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
# approximately correct the overall uncertainties to std deviations
s = rank_accuracy_map[rxn.rank].value_si/2.0
for T in Ts:
xdata.append([T, rxn.get_enthalpy_of_reaction(T)])
xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)])
ydata.append(np.log(rxn.get_rate_coefficient(T)))

sigmas.append(s / (8.314 * T))
Expand Down