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overlap_from_wfns.py
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overlap_from_wfns.py
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#!/usr/bin/env python
import os
import numpy as np
import time
import copy
import sys
import argparse
ang_2_bohr = 1.0/0.52917721067
hart_2_ev = 27.21138602
import cp2k_spm_tools.cp2k_grid_orbitals as cgo
import cp2k_spm_tools.cp2k_stm_sts as css
from cp2k_spm_tools import common
from cp2k_spm_tools.cube import Cube
from mpi4py import MPI
comm = MPI.COMM_WORLD
mpi_rank = comm.Get_rank()
mpi_size = comm.Get_size()
parser = argparse.ArgumentParser(
description='Puts the CP2K orbitals on grid and calculates scalar products.')
# ----------------------------------
# First system: molecule on slab
parser.add_argument(
'--cp2k_input_file1',
metavar='FILENAME',
required=True,
help='CP2K input of the SCF calculation.')
parser.add_argument(
'--basis_set_file1',
metavar='FILENAME',
required=True,
help='File containing the used basis sets.')
parser.add_argument(
'--xyz_file1',
metavar='FILENAME',
required=True,
help='.xyz file containing the geometry.')
parser.add_argument(
'--wfn_file1',
metavar='FILENAME',
required=True,
help='Restart file containing the final wavefunction.')
parser.add_argument(
'--emin1',
type=float,
metavar='E',
required=True,
help='Lowest energy value for selecting orbitals (eV).')
parser.add_argument(
'--emax1',
type=float,
metavar='E',
required=True,
help='Highest energy value for selecting orbitals (eV).')
# ----------------------------------
# Second system: only molecule
parser.add_argument(
'--cp2k_input_file2',
metavar='FILENAME',
required=True,
help='CP2K input of the SCF calculation.')
parser.add_argument(
'--basis_set_file2',
metavar='FILENAME',
required=True,
help='File containing the used basis sets.')
parser.add_argument(
'--xyz_file2',
metavar='FILENAME',
required=True,
help='.xyz file containing the geometry.')
parser.add_argument(
'--wfn_file2',
metavar='FILENAME',
required=True,
help='Restart file containing the final wavefunction.')
parser.add_argument(
'--nhomo2',
type=int,
metavar='N',
required=True,
help='Number of homo orbitals.')
parser.add_argument(
'--nlumo2',
type=int,
metavar='N',
required=True,
help='Number of lumo orbitals.')
# ----------------------------------
parser.add_argument(
'--output_file',
metavar='FILENAME',
required=True,
help='File, where to save the output')
parser.add_argument(
'--eval_region',
type=str,
nargs=6,
metavar='X',
required=True,
help=common.eval_region_description
)
parser.add_argument(
'--dx',
type=float,
metavar='DX',
required=True,
help='Spatial step for the grid (angstroms).')
parser.add_argument(
'--eval_cutoff',
type=float,
metavar='D',
default=14.0,
help=("Size of the region around the atom where each"
" orbital is evaluated (only used for 'G' region).")
)
time0 = time.time()
### ------------------------------------------------------
### Parse args for only one rank to suppress duplicate stdio
### ------------------------------------------------------
args = None
args_success = False
try:
if mpi_rank == 0:
args = parser.parse_args()
args_success = True
finally:
args_success = comm.bcast(args_success, root=0)
if not args_success:
print(mpi_rank, "exiting")
exit(0)
args = comm.bcast(args, root=0)
### ------------------------------------------------------
### Evaluate the same molecule orbitals on all mpi ranks
### ------------------------------------------------------
mol_grid_orb = cgo.Cp2kGridOrbitals(0, 1, single_precision=False)
mol_grid_orb.read_cp2k_input(args.cp2k_input_file2)
mol_grid_orb.read_xyz(args.xyz_file2)
mol_grid_orb.read_basis_functions(args.basis_set_file2)
mol_grid_orb.load_restart_wfn_file(args.wfn_file2, n_occ=args.nhomo2, n_virt=args.nlumo2)
print("R%d/%d: loaded G2, %.2fs"%(mpi_rank, mpi_size, (time.time() - time0)))
sys.stdout.flush()
time1 = time.time()
eval_reg = common.parse_eval_region_input(args.eval_region, mol_grid_orb.ase_atoms, mol_grid_orb.cell)
mol_grid_orb.calc_morbs_in_region(args.dx,
x_eval_region = eval_reg[0],
y_eval_region = eval_reg[1],
z_eval_region = eval_reg[2],
reserve_extrap = 0.0,
eval_cutoff = args.eval_cutoff)
print("R%d/%d: evaluated G2, %.2fs"%(mpi_rank, mpi_size, (time.time() - time1)))
sys.stdout.flush()
time1 = time.time()
### ------------------------------------------------------
### Evaluate slab system orbitals
### ------------------------------------------------------
slab_grid_orb = cgo.Cp2kGridOrbitals(mpi_rank, mpi_size, mpi_comm=comm, single_precision=False)
slab_grid_orb.read_cp2k_input(args.cp2k_input_file1)
slab_grid_orb.read_xyz(args.xyz_file1)
slab_grid_orb.read_basis_functions(args.basis_set_file1)
slab_grid_orb.load_restart_wfn_file(args.wfn_file1, emin=args.emin1-0.05, emax=args.emax1+0.05)
print("R%d/%d: loaded G1, %.2fs"%(mpi_rank, mpi_size, (time.time() - time1)))
sys.stdout.flush()
time1 = time.time()
slab_grid_orb.calc_morbs_in_region(args.dx,
x_eval_region = eval_reg[0],
y_eval_region = eval_reg[1],
z_eval_region = eval_reg[2],
reserve_extrap = 0.0,
eval_cutoff = args.eval_cutoff)
print("R%d/%d: evaluated G1, %.2fs"%(mpi_rank, mpi_size, (time.time() - time1)))
sys.stdout.flush()
time1 = time.time()
### ------------------------------------------------------
### calculate overlap
### ------------------------------------------------------
ve = np.prod(slab_grid_orb.dv)
output_dict = {}
for i_spin_slab in range(slab_grid_orb.nspin):
for i_spin_mol in range(mol_grid_orb.nspin):
# The gas phase orbitals can be expressed in the basis of slab orbitals
# |phi_i> = \sum_j <psi_j|phi_i> |psi_j>
# And the modulus is
# <phi_i|phi_i> = \sum_j |<psi_j|phi_i>|^2 = 1
# Therefore, the matrix of
# |<phi_i|psi_j>|^2
# is a good description of the amount of gas phase orbitals in slab orbitals
# (positive; integral between j1 to j2 gives the amount of |phi_i> in that region)
overlap_matrix = (np.einsum('iklm, jklm',
slab_grid_orb.morb_grids[i_spin_slab],
mol_grid_orb.morb_grids[i_spin_mol])*ve)**2
print("R%d/%d: overlap finished, %.2fs"%(mpi_rank, mpi_size, (time.time()-time1) ))
sys.stdout.flush()
overlap_matrix_rav = overlap_matrix.ravel()
sendcounts = np.array(comm.gather(len(overlap_matrix_rav), 0))
if mpi_rank == 0:
print("sendcounts: {}, total: {}".format(sendcounts, sum(sendcounts)))
recvbuf = np.empty(sum(sendcounts), dtype=float)
else:
recvbuf = None
comm.Gatherv(sendbuf=overlap_matrix_rav, recvbuf=[recvbuf, sendcounts], root=0)
if mpi_rank == 0:
overlap_matrix_collected = recvbuf.reshape((
len(slab_grid_orb.global_morb_energies[i_spin_slab]),
len(mol_grid_orb.global_morb_energies[i_spin_mol]),
))
output_dict["overlap_matrix_s{}s{}".format(i_spin_slab, i_spin_mol)] = overlap_matrix_collected
if mpi_rank == 0:
output_dict['metadata'] = [{
'nspin_g1': slab_grid_orb.nspin,
'nspin_g2': mol_grid_orb.nspin,
'homo_i_g2': mol_grid_orb.i_homo_loc,
}]
for i_spin_slab in range(slab_grid_orb.nspin):
output_dict["energies_g1_s{}".format(i_spin_slab)] = slab_grid_orb.global_morb_energies[i_spin_slab]
for i_spin_mol in range(mol_grid_orb.nspin):
output_dict["energies_g2_s{}".format(i_spin_mol)] = mol_grid_orb.global_morb_energies[i_spin_mol]
# NB: Count starts from 1!
output_dict["orb_indexes_g2_s{}".format(i_spin_mol)] = mol_grid_orb.cwf.global_morb_indexes[i_spin_mol]
np.savez(args.output_file, **output_dict)
print("Finish! Total time: %.2fs" % (time.time() - time0))