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Merge pull request #143 from libAtoms/opls-cleanup
Opls cleanup
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#!/usr/bin/env python3 | ||
# | ||
# Copyright 2023 Andreas Klemenz (Fraunhofer IWM) | ||
# | ||
# matscipy - Materials science with Python at the atomic-scale | ||
# https://github.com/libAtoms/matscipy | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU General Public License as published by | ||
# the Free Software Foundation, either version 2 of the License, or | ||
# (at your option) any later version. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
# GNU General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU General Public License | ||
# along with this program. If not, see <http://www.gnu.org/licenses/>. | ||
# | ||
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# This script demonstrates how to create an atomic configuration in a | ||
# python script and generate input files for LAMMPS from it. | ||
# Alternatively, atomic configurations can be read from an extended xyz | ||
# file. See example 'extxyz_to_lammps.py'. | ||
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import numpy as np | ||
import ase | ||
import matscipy.opls | ||
import matscipy.io.opls | ||
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# Simple example: ethane molecules | ||
# matscipy.opls.OPLSStructure is a subclass of ase.Atoms. OPLSStructure | ||
# objects can therefore be constructed and manipulated in the same way | ||
# as ase.Atoms objects | ||
a1 = matscipy.opls.OPLSStructure( | ||
'C2H6', | ||
positions = [[1., 0., 0.], | ||
[2., 0., 0.], | ||
[0., 0., 0.], | ||
[1., 1., 0.], | ||
[1., -1., 0.], | ||
[2., 0., 1.], | ||
[2., 0., -1.], | ||
[3., 0., 0.]], | ||
cell = [10., 10., 10.] | ||
) | ||
a1.translate([0., 3., 0.]) | ||
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# Alternative: construct an ase.Atoms object and convert it to a | ||
# matscipy.opls.OPLSStructure object. | ||
a2 = ase.Atoms( | ||
'C2H6', | ||
positions = [[1., 0., 0.], | ||
[2., 0., 0.], | ||
[0., 0., 0.], | ||
[1., 1., 0.], | ||
[1., -1., 0.], | ||
[2., 0., 1.], | ||
[2., 0., -1.], | ||
[3., 0., 0.]], | ||
cell = [10., 10., 10.] | ||
) | ||
a2 = matscipy.opls.OPLSStructure(a2) | ||
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a = matscipy.opls.OPLSStructure(cell=[10., 10., 10.]) | ||
a.extend(a1) | ||
a.extend(a2) | ||
a.center() | ||
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# Specify atomic types. Notice the difference between type and element. | ||
# In this example we are using two different types of hydrogen atoms. | ||
a.set_types(['C1', 'C1', 'H1', 'H1', 'H1', 'H2', 'H2', 'H2', | ||
'C1', 'C1', 'H1', 'H1', 'H1', 'H2', 'H2', 'H2']) | ||
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# To perform a non-reactive simulation, all types of pair, angle and | ||
# dihedral interactions must be specified manually. Usually this means | ||
# searching the literature for suitable parameters, which can be a | ||
# tedious task. If it is known which interactions are present in a | ||
# system, this can be much easier. Lists of all existing interactions | ||
# can be generated based on the distance of the atoms from each other. | ||
# The maximum distances up to which two atoms are considered to interact | ||
# can be read from a file. | ||
cutoffs = matscipy.io.opls.read_cutoffs('cutoffs.in') | ||
a.set_cutoffs(cutoffs) | ||
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bond_types, _ = a.get_bonds() | ||
print('Pairwise interactions:') | ||
print(bond_types) | ||
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angle_types, _ = a.get_angles() | ||
print('\nAngular interactions:') | ||
print(angle_types) | ||
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dih_types, _ = a.get_dihedrals() | ||
print('\nDihedral interactions:') | ||
print(dih_types) | ||
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# Once the parameters of all interactions are known, they can be written | ||
# to a file. This can be used to generate the lists of all interactions | ||
# and to create input files for LAMMPS. | ||
cutoffs, atom_data, bond_data, angle_data, dih_data = matscipy.io.opls.read_parameter_file('parameters.in') | ||
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a.set_cutoffs(cutoffs) | ||
a.set_atom_data(atom_data) | ||
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a.get_bonds(bond_data) | ||
a.get_angles(angle_data) | ||
a.get_dihedrals(dih_data) | ||
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# Write the atomic structure, the potential definitions and a sample | ||
# input script for LAMMPS (3 files in total). The input script contains | ||
# a simple relaxation of the atomic position. Modify this file for more | ||
# complex simulations. | ||
matscipy.io.opls.write_lammps('example', a) | ||
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# Cutoffs | ||
C1-C1 1.85 | ||
C1-H1 1.15 | ||
C1-H2 1.15 | ||
H1-H1 0.0 | ||
H2-H2 0.0 | ||
H1-H2 0.0 |
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16 | ||
Lattice="10.0 0.0 0.0 0.0 10.0 0.0 0.0 0.0 10.0" Properties=species:S:1:pos:R:3:molid:I:1:type:S:1 pbc="F F F" | ||
C 4.5 6.5 5.0 1 C1 | ||
C 5.5 6.5 5.0 1 C1 | ||
H 3.5 6.5 5.0 1 H1 | ||
H 4.5 7.5 5.0 1 H1 | ||
H 4.5 5.5 5.0 1 H1 | ||
H 5.5 6.5 6.0 1 H2 | ||
H 5.5 6.5 4.0 1 H2 | ||
H 6.5 6.5 5.0 1 H2 | ||
C 4.5 3.5 5.0 2 C1 | ||
C 5.5 3.5 5.0 2 C1 | ||
H 3.5 3.5 5.0 2 H1 | ||
H 4.5 4.5 5.0 2 H1 | ||
H 4.5 2.5 5.0 2 H1 | ||
H 5.5 3.5 6.0 2 H2 | ||
H 5.5 3.5 4.0 2 H2 | ||
H 6.5 3.5 5.0 2 H2 |
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#!/usr/bin/env python3 | ||
# | ||
# Copyright 2023 Andreas Klemenz (Fraunhofer IWM) | ||
# | ||
# matscipy - Materials science with Python at the atomic-scale | ||
# https://github.com/libAtoms/matscipy | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU General Public License as published by | ||
# the Free Software Foundation, either version 2 of the License, or | ||
# (at your option) any later version. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
# GNU General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU General Public License | ||
# along with this program. If not, see <http://www.gnu.org/licenses/>. | ||
# | ||
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# This script demonstrates how to read an atomic configuration from an | ||
# extended xyz file and create input files for LAMMPS from it. | ||
# Alternatively, atomic configurations can be created directly in a | ||
# python script. See example 'atoms_to_lammps.py'. | ||
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import matscipy.io.opls | ||
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# Read the atomic configuration from an Extended XYZ file with labeled | ||
# atoms. The file should contain the following columns: element (1 or 2 | ||
# characters), x(float), y(float), z (float), molecule id (int), name | ||
# (1 or 2 characters). See the file "ethane.extxyz" for an example. | ||
# A full description of the extended xyz format can be found for example | ||
# in the ASE documentation. | ||
a = matscipy.io.opls.read_extended_xyz('ethane.extxyz') | ||
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# To perform a non-reactive simulation, all types of pair, angle and | ||
# dihedral interactions must be specified manually. Usually this means | ||
# searching the literature for suitable parameters, which can be a | ||
# tedious task. If it is known which interactions are present in a | ||
# system, this can be much easier. Lists of all existing interactions | ||
# can be generated based on the distance of the atoms from each other. | ||
# The maximum distances up to which two atoms are considered to | ||
# interact can be read from a file. | ||
cutoffs = matscipy.io.opls.read_cutoffs('cutoffs.in') | ||
a.set_cutoffs(cutoffs) | ||
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bond_types, _ = a.get_bonds() | ||
print('Pairwise interactions:') | ||
print(bond_types) | ||
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angle_types, _ = a.get_angles() | ||
print('\nAngular interactions:') | ||
print(angle_types) | ||
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dih_types, _ = a.get_dihedrals() | ||
print('\nDihedral interactions:') | ||
print(dih_types) | ||
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# Once the parameters of all interactions are known, they can be written | ||
# to a file. This can be used to generate the lists of all interactions | ||
# and to create input files for LAMMPS. | ||
cutoffs, atom_data, bond_data, angle_data, dih_data = matscipy.io.opls.read_parameter_file('parameters.in') | ||
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a.set_cutoffs(cutoffs) | ||
a.set_atom_data(atom_data) | ||
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a.get_bonds(bond_data) | ||
a.get_angles(angle_data) | ||
a.get_dihedrals(dih_data) | ||
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# Write the atomic structure, the potential definitions and a sample | ||
# input script for LAMMPS (3 files in total). The input script contains | ||
# a simple relaxation of the atomic position. Modify this file for more | ||
# complex simulations. | ||
matscipy.io.opls.write_lammps('example', a) | ||
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# the blocks are separated by empty lines | ||
# comments are allowed | ||
# | ||
# All potential parameters in this file are for illustrative | ||
# purposes only! Do not use them for real simulations! | ||
# | ||
# Lennard-Jones and Charges | ||
# Element Epsilon(eV) Sigma(A) Charge(e) | ||
C1 0.0028 3.50 -0.06 | ||
H1 0.0013 2.50 0.06 | ||
H2 0.0013 2.42 0.12 | ||
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# Bonds (style harmonic) | ||
C1-C1 13.4 1.5 | ||
C1-H1 14.3 1.1 | ||
C1-H2 9.0 1.2 | ||
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# Angles (style harmonic) | ||
C1-C1-H1 1.5 110.0 | ||
C1-C1-H2 1.1 115.0 | ||
H1-C1-H1 0.7 110.0 | ||
H2-C1-H2 0.7 110.0 | ||
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# Dihedrals | ||
H1-C1-C1-H2 0.0 0.0 0.016 0.0 | ||
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# Cutoffs | ||
C1-C1 1.85 | ||
C1-H1 1.15 | ||
C1-H2 1.15 | ||
H1-H1 0.0 | ||
H2-H2 0.0 | ||
H1-H2 0.0 |
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