#!/usr/bin/env python ################################################################################ # # CDDL HEADER START # # The contents of this file are subject to the terms of the Common Development # and Distribution License Version 1.0 (the "License"). # # You can obtain a copy of the license at # http:# www.opensource.org/licenses/CDDL-1.0. See the License for the # specific language governing permissions and limitations under the License. # # When distributing Covered Code, include this CDDL HEADER in each file and # include the License file in a prominent location with the name LICENSE.CDDL. # If applicable, add the following below this CDDL HEADER, with the fields # enclosed by brackets "[]" replaced with your own identifying information: # # Portions Copyright (c) [yyyy] [name of copyright owner]. All rights reserved. # # CDDL HEADER END # # Copyright (c) 2017, Regents of the University of Minnesota. # All rights reserved. # # Contributor(s): # Ellad B. Tadmor # ################################################################################ # The docstring below is vc_description '''Check whether a model is invariant with respect to the inversion operation where each atom is moved along a straight line through the inversion center to a point of equal distance on the other side. This is satisfied for all inversion centers if the model is invariant to rigid-body translation, and has inversion symmetry about the origin. Invariance symmetry is expected from the properties of the quantum mechanics Hamiltonian operator. It should be true for any model that does not depend on an external field. The check is performed for a randomly distorted non-periodic body-centered cubic (BCC) cube base structure. Separate configurations are tested for each species supported by the model, as well as one containing a random distribution of all species. The energy and forces of each configuration are compared with those of the same configuration translated in a random direction by an irrational distance and then inverted through the origin. The energies must be the same and the forces must change sign. The verification check will pass if the energy of all configurations that the model is able to compute pass both tests. Configurations used for testing are provided as auxiliary files.''' # Python 2-3 compatible code issues from __future__ import print_function try: input = raw_input except NameError: pass from ase.lattice.cubic import BodyCenteredCubic from kimcalculator import KIMCalculator, KIM_get_supported_species_list import kimvc import sys import random import numpy as np import math __version__ = "000" __author__ = "Ellad Tadmor" vc_name = "vc-inversion-symmetry" vc_description = kimvc.vc_stripall(__doc__) vc_category = "informational" vc_grade_basis = "passfail" vc_files = [] ################################################################################ # # FUNCTIONS # ################################################################################ ################################################################################ def get_random_unit_vector(): """ Generates a random 3D unit vector (direction) with a uniform spherical distribution stackoverflow.com/questions/5408276/python-uniform-spherical-distribution """ phi = random.uniform(0,2*math.pi) costheta = random.uniform(-1.,1.) theta = np.arccos( costheta ) x = np.sin( theta) * np.cos( phi ) y = np.sin( theta) * np.sin( phi ) z = np.cos( theta ) return (x,y,z) ################################################################################ def perform_inversion_symmetry_check(vc, atoms, heading, dashwidth): ''' Perform inversion symmetry check for the ASE atoms object in 'atoms' ''' # set comparison tolerance tole = 1e-8 eps_prec = np.finfo(float).eps # compute the energy in the original location energy_orig = atoms.get_potential_energy() forces_orig = atoms.get_forces() # compute a random translation vector and apply translation trans = np.multiply(get_random_unit_vector(), math.pi) for at in range(0,len(atoms)): atoms[at].position += trans energy_trans = atoms.get_potential_energy() # check if energy is the same up to a numerical tolerance den = max(0.5*(abs(energy_trans) + abs(energy_orig)), eps_prec) passed_trans = abs(energy_trans-energy_orig)/den < tole # apply inversion about origin for at in range(0,len(atoms)): atoms[at].position = np.multiply(atoms[at].position, -1.) energy_trans_oinv = atoms.get_potential_energy() forces_trans_oinv = atoms.get_forces() # check if energy is the same up to a numerical tolerance den = max(0.5*(abs(energy_trans_oinv) + abs(energy_trans)), eps_prec) passed_oinv = abs(energy_trans_oinv-energy_trans)/den < tole # need to pass translation and origin inversion symmetry to pass check passed_energy = passed_trans and passed_oinv # report results and return vc.rwrite('') vc.rwrite(heading) vc.rwrite('-'*dashwidth) vc.rwrite('Translation vector = {0: .8e} {1: .8e} {2: .8e}'. \ format(*trans)) vc.rwrite('') vc.rwrite('Energy requirement:') vc.rwrite('') vc.rwrite( \ 'V(-(r_1+c),...,-(r_N+c)) = V(r_1,...,r_N), ' 'where r_i is the position of atom i, V is the potential energy, ') vc.rwrite('and c is a translation vector.') vc.rwrite('') vc.rwrite('V(-(r_1+c),...,-(r_N+c)) = {0}'.format(energy_trans_oinv)) vc.rwrite('V(r_1+c,...,r_N+c) = {0}'.format(energy_trans)) vc.rwrite('V(r_1,...,r_N) = {0}'.format(energy_orig)) vc.rwrite('') # check forces for inversion symmetry vc.rwrite('Forces requirement:') vc.rwrite('') vc.rwrite( \ 'f_i(-(r_1+c),...,-(r_N+c)) = -f_i(r_1,...,r_N), ' 'where r_i is the position of atom i, f_i is the force ') vc.rwrite('on atom i, and c is a translation vector.') vc.rwrite('') hfmt = '{:>3}' + ' '*16 + '{}' + ' '*35 + '{}' fmt = '{:>3} ' + '{: .8e} '*3 + '| ' + '{: .8e} '*3 + '{}' vc.rwrite(hfmt.format('i','f_i(-(r_1+c),...,-(r_N+c))', \ '-f_i(r_1,...,r_N)')) vc.rwrite('-'*dashwidth) passed_forces = True for i in range(0,len(atoms)): f_lhs = forces_trans_oinv[i] f_rhs = np.multiply(forces_orig[i], -1.) den=np.maximum(0.5*(np.absolute(f_lhs)+np.absolute(f_rhs)),eps_prec) force_ok = np.all(np.absolute(f_lhs - f_rhs)/den 10.0: sys.exit(1) # Cannot find a working configuration within a # a reasonable lattice constant range. # Randomize positions save_positions = atoms.get_positions() pert_amp = pert_amp_orig got_randomized_config = False while not got_randomized_config: try: kimvc.randomize_positions(atoms, pert_amp) forces = atoms.get_forces() # make sure forces can be computed got_randomized_config = True except: # Failed to compute forces; reset to original posns and retry atoms.set_positions(save_positions) pert_amp *= 0.5 # cut perturbation amplitude by half # Move atoms around until all forces are sizeable kimvc.perturb_until_all_forces_sizeable(atoms, pert_amp) aux_file = 'config-'+spec+'.xyz' vc_files.append(aux_file) vc.write_aux_ase_atoms(aux_file, atoms, 'xyz') heading = 'MONOATOMIC STRUCTURE -- Species = ' + spec + \ ' (Configuration in file "' + aux_file + '")' try: passed = perform_inversion_symmetry_check(vc, atoms, \ heading, dashwidth) passed_all = passed_all and passed got_atleast_one = True except: pass # Perform inversion check for mixed system if len(species)>1: lattice_constant = lattice_constant_orig while True: atoms = BodyCenteredCubic( size=(ncells_per_side, ncells_per_side, ncells_per_side), latticeconstant=lattice_constant, symbol="H", pbc=False) if len(atoms) < len(species): ncells_per_side += 1 else: break kimvc.randomize_species(atoms, species) calc = KIMCalculator(model) atoms.set_calculator(calc) got_initial_config = False while not got_initial_config: try: kimvc.rescale_to_get_nonzero_forces(atoms, 0.01) got_initial_config = True except: # Initial config failed. This most likely due to an evaluation # outside the legal model range. Increase lattice constant and # try again. lattice_constant += 0.25 if lattice_constant > 10.0: sys.exit(1) # Cannot find a working configuration within a # a reasonable lattice constant range. acell = lattice_constant*ncells_per_side atoms.set_cell([acell, acell, acell],scale_atoms=True) # Randomize positions save_positions = atoms.get_positions() pert_amp = pert_amp_orig got_randomized_config = False while not got_randomized_config: try: kimvc.randomize_positions(atoms, pert_amp) forces = atoms.get_forces() # make sure forces can be computed got_randomized_config = True except: # Failed to compute forces; reset to original posns and retry atoms.set_positions(save_positions) pert_amp *= 0.5 # cut perturbation amplitude by half kimvc.perturb_until_all_forces_sizeable(atoms, pert_amp) aux_file = 'config-'+''.join(species)+'.xyz' vc_files.append(aux_file) vc.write_aux_ase_atoms(aux_file, atoms, 'xyz') heading = 'MIXED STRUCTURE -- Species = ' + ' '.join(species) + \ ' (Configuration in file "' + aux_file + '")' try: passed = perform_inversion_symmetry_check(vc, atoms, \ heading, dashwidth) passed_all = passed_all and passed got_atleast_one = True except: pass if got_atleast_one: # Compute grade vc.rwrite('') vc.rwrite('='*dashwidth) vc.rwrite('To pass this verification check the model must be invariant ' 'with respect to') vc.rwrite('translation and have inversion symmetry about the origin ' 'for all configurations ') vc.rwrite('it was able to compute.') vc.rwrite('') if passed_all: vc_grade = 'P' vc_comment = 'Model energy has inversion symmetry for ' + \ 'all configurations the model was able to compute.' else: vc_grade = 'F' vc_comment = 'Model energy does NOT have inversion symmetry ' + \ 'for at least one configuration that the model ' + \ 'was able to compute. This could be valid if the ' + \ 'model includes an external field or represents ' + \ 'a material with unusual quantum properties. ' + \ 'Otherwise this is a error in the model ' + \ 'implementation.' vc.rwrite('Grade: {}'.format(vc_grade)) vc.rwrite('') vc.rwrite('Comment: '+vc_comment) vc.rwrite('') return vc_grade, vc_comment else: raise RuntimeError('Failed to compute all configuration for the ' 'inversion symmetry verification check.') return None, None ################################################################################ # # MAIN PROGRAM # ############################################################################### if __name__ == '__main__': # Get the model extended KIM ID: model = input("Model Extended KIM ID = ") # Define VC object and do verification check vc = kimvc.vc_object(vc_name, vc_description, __author__) with vc: # Perform verification check and get grade try: vc_grade, vc_comment = do_vc(model, vc) except: vc_grade = "N/A" vc_comment = "Unable to perform verification check due to an error." sys.stderr.write('ERROR: Unable to perform verification check.\n') # Pack results in a dictionary and write VC property instance results = {"vc_name" : vc_name, "vc_description" : vc_description, "vc_category" : vc_category, "vc_grade_basis" : vc_grade_basis, "vc_grade" : vc_grade, "vc_comment" : vc_comment, "vc_files" : vc_files} vc.write_results(results)