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test_pot_at.py
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81 lines (70 loc) · 4 KB
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#!/usr/bin/env python3
# test_pot_at.py
#------------------------------------------------------------------------------------------------#
# This software was written in 2016/17 #
# by Michael P. Allen <m.p.allen@warwick.ac.uk>/<m.p.allen@bristol.ac.uk> #
# and Dominic J. Tildesley <d.tildesley7@gmail.com> ("the authors"), #
# to accompany the book "Computer Simulation of Liquids", second edition, 2017 ("the text"), #
# published by Oxford University Press ("the publishers"). #
# #
# LICENCE #
# Creative Commons CC0 Public Domain Dedication. #
# To the extent possible under law, the authors have dedicated all copyright and related #
# and neighboring rights to this software to the PUBLIC domain worldwide. #
# This software is distributed without any warranty. #
# You should have received a copy of the CC0 Public Domain Dedication along with this software. #
# If not, see <http://creativecommons.org/publicdomain/zero/1.0/>. #
# #
# DISCLAIMER #
# The authors and publishers make no warranties about the software, and disclaim liability #
# for all uses of the software, to the fullest extent permitted by applicable law. #
# The authors and publishers do not recommend use of this software for any purpose. #
# It is made freely available, solely to clarify points made in the text. When using or citing #
# the software, you should not imply endorsement by the authors or publishers. #
#------------------------------------------------------------------------------------------------#
"""Axilrod-Teller triple-dipole potential and forces."""
import numpy as np
n = 3 # Three-atom potential
print('test_pot_at module')
print('Returns potential and force for Axilrod-Teller triple-dipole')
print(n,'-atom potential',sep='')
def force ( r ):
"""Returns potential pot and numpy array f of shape (n,3), same as input argument.
Demonstrates the calculation of forces from the Axilrod-Teller triple-dipole potential.
Written for ease of comparison with the text rather than efficiency!
"""
assert r.shape == (n,3), 'Incorrect shape of r'
# Notation to match appendix
i = 0
j = 1
k = 2
# Note that we define the separation vectors in a cyclic way
rij = r[i,:] - r[j,:]
rjk = r[j,:] - r[k,:]
rki = r[k,:] - r[i,:]
rij_sq = np.sum(rij**2)
rjk_sq = np.sum(rjk**2)
rki_sq = np.sum(rki**2)
rij2 = 1.0/rij_sq
rjk2 = 1.0/rjk_sq
rki2 = 1.0/rki_sq
rij_mag = np.sqrt( rij_sq )
rjk_mag = np.sqrt( rjk_sq )
rki_mag = np.sqrt( rki_sq )
ci = np.dot( rki, rij )
cj = np.dot( rij, rjk )
ck = np.dot( rjk, rki )
prefac = 1.0/(rij_mag*rjk_mag*rki_mag)**5
pot = prefac * ( rij_sq*rjk_sq*rki_sq - 3.0*ci*cj*ck ) # The triple-dipole potential with strength=nu=1
f = np.empty_like(r) # Create force array
fac = 5.0*(rij_sq*rjk_sq*rki_sq-3.0*ci*cj*ck)
f[i,:] = prefac * ( fac*(rij2*rij-rki2*rki)
+ 3.0*ci*(ck-cj)*rjk + 3.0*cj*ck*(rki-rij)
+ 2.0*(rij_sq*rjk_sq*rki-rjk_sq*rki_sq*rij) )
f[j,:] = prefac * ( fac*(rjk2*rjk-rij2*rij)
+ 3.0*cj*(ci-ck)*rki + 3.0*ck*ci*(rij-rjk)
+ 2.0*(rjk_sq*rki_sq*rij-rki_sq*rij_sq*rjk) )
f[k,:] = prefac * ( fac*(rki2*rki-rjk2*rjk)
+ 3.0*ck*(cj-ci)*rij + 3.0*ci*cj*(rjk-rki)
+ 2.0*(rki_sq*rij_sq*rjk-rij_sq*rjk_sq*rki) )
return pot, f