forked from lijiext/lammps
simplify class names in pair style python examples. add SPC/E water example
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@ -12,7 +12,7 @@ mass * 1.0
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velocity all create 3.0 87287
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pair_style hybrid lj/cut 2.5 python 2.5
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pair_coeff * * python potentials.LAMMPSLJCutPotential lj NULL
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pair_coeff * * python potentials.LJCutMelt lj NULL
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pair_coeff * 2 lj/cut 1.0 1.0
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neighbor 0.3 bin
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@ -12,7 +12,7 @@ mass * 1.0
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velocity all create 3.0 87287
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pair_style python 2.5
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pair_coeff * * potentials.LAMMPSLJCutPotential lj
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pair_coeff * * potentials.LJCutMelt lj
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neighbor 0.3 bin
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neigh_modify every 20 delay 0 check no
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@ -0,0 +1,28 @@
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units real
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atom_style full
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read_data data.spce
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pair_style hybrid/overlay python 12.0 coul/long 12.0
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kspace_style pppm 1.0e-6
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pair_coeff * * coul/long
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pair_coeff * * python potentials.LJCutSPCE OW NULL
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bond_style harmonic
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angle_style harmonic
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dihedral_style none
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improper_style none
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bond_coeff 1 1000.00 1.000
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angle_coeff 1 100.0 109.47
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special_bonds lj/coul 0.0 0.0 1.0
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neighbor 2.0 bin
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fix 1 all shake 0.0001 20 0 b 1 a 1
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fix 2 all nvt temp 300.0 300.0 100.0
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thermo 10
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run 100
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@ -1,6 +1,6 @@
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from __future__ import print_function
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class LAMMPSLJCutPotential(object):
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class LJCutMelt(object):
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def __init__(self):
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self.pmap=dict()
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@ -32,3 +32,42 @@ class LAMMPSLJCutPotential(object):
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lj3 = coeff[4]
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lj4 = coeff[5]
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return (r6inv * (lj3*r6inv - lj4))
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class LJCutSPCE(object):
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def __init__(self):
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self.pmap=dict()
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# SPCE oxygen in real units
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eps=0.15535
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sig=3.166
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# set coeffs: eps, sig, 48*eps*sig**12, 24*eps*sig**6,
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# 4*eps*sig**12, 4*eps*sig**6
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self.coeff = {'OW' : {'OW' : (1.0,1.0,
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48.0*eps*sig**12,24.0*eps*sig**6,
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4.0*eps*sig**12, 4.0*eps*sig**6),
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'NULL': (0.0,1.0, 0.0, 0.0,0.0,0.0)},
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'NULL': {'OW' : (0.0,1.0, 0.0, 0.0,0.0,0.0),
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'NULL': (0.0,1.0, 0.0, 0.0,0.0,0.0)}}
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def map_coeff(self,name,type):
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if name in self.coeff:
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self.pmap[type] = name
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else:
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raise Exception("cannot match atom type %s" % name)
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def compute_force(self,rsq,itype,jtype):
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coeff = self.coeff[self.pmap[itype]][self.pmap[jtype]]
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r2inv = 1.0/rsq
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r6inv = r2inv*r2inv*r2inv
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lj1 = coeff[2]
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lj2 = coeff[3]
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return (r6inv * (lj1*r6inv - lj2))
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def compute_energy(self,rsq,itype,jtype):
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coeff = self.coeff[self.pmap[itype]][self.pmap[jtype]]
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r2inv = 1.0/rsq
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r6inv = r2inv*r2inv*r2inv
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lj3 = coeff[4]
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lj4 = coeff[5]
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return (r6inv * (lj3*r6inv - lj4))
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