forked from MatthewRHermes/mrh
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge branch 'dev' of https://github.com/MatthewRHermes/mrh into gpudev
- Loading branch information
Showing
37 changed files
with
2,389 additions
and
344 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,264 @@ | ||
#!/usr/bin/env python | ||
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
import os | ||
import copy | ||
import unittest | ||
import numpy as np | ||
from pyscf import gto, scf, mcscf | ||
from pyscf.lib import chkfile | ||
from pyscf.mcscf import avas | ||
from pyscf.data import nist | ||
from mrh.my_pyscf.mcscf.lasscf_o0 import LASSCF | ||
from mrh.my_pyscf.mcscf import lasscf_async | ||
from mrh.tests.lasscf.c2h4n4_struct import structure as struct | ||
from mrh.my_pyscf import lassi | ||
topdir = os.path.abspath (os.path.join (__file__, '..')) | ||
|
||
au2cm = nist.HARTREE2J / nist.PLANCK / nist.LIGHT_SPEED_SI * 1e-2 | ||
def yamaguchi (e_roots, s2, nelec=6): | ||
'''The Yamaguchi formula for nelec unpaired electrons''' | ||
hs = (nelec/2.0) * ((nelec/2.0)+1.0) | ||
ls = hs - np.floor (hs) | ||
idx = np.argsort (e_roots) | ||
e_roots = e_roots[idx] | ||
s2 = s2[idx] | ||
idx_hs = (np.around (s2) == np.around (hs)) | ||
assert (np.count_nonzero (idx_hs)), 'high-spin ground state not found' | ||
idx_hs = np.where (idx_hs)[0][0] | ||
e_hs = e_roots[idx_hs] | ||
idx_ls = (np.around (s2) == np.around (ls)) | ||
assert (np.count_nonzero (idx_ls)), 'low-spin ground state not found' | ||
idx_ls = np.where (idx_ls)[0][0] | ||
e_ls = e_roots[idx_ls] | ||
j = (e_ls - e_hs) / (hs - ls) | ||
return j*au2cm | ||
|
||
def setUpModule (): | ||
pass | ||
|
||
def tearDownModule(): | ||
pass | ||
|
||
class KnownValues(unittest.TestCase): | ||
|
||
def test_c2h4n4_3frag (self): | ||
# str | ||
mol = struct (2.0, 2.0, '6-31g', symmetry=False) | ||
mol.output = 'c2h4n4_3frag_str.log'#'/dev/null' | ||
mol.verbose = 5#0 | ||
mol.spin = 8 | ||
mol.build () | ||
mf = scf.RHF (mol).run () | ||
las = LASSCF (mf, (4,2,4), ((2,2),(1,1),(2,2)), spin_sub=(1,1,1)) | ||
mo_coeff = las.localize_init_guess ([[0,1,2],[3,4,5,6],[7,8,9]]) | ||
las.kernel (mo_coeff) | ||
lsi = lassi.LASSIS (las).run () | ||
e_str = lsi.e_roots[0] | ||
with self.subTest ('str converged'): | ||
self.assertTrue (lsi.converged) | ||
# equil | ||
mol = struct (0.0, 0.0, '6-31g', symmetry=False) | ||
mol.spin = 0 | ||
mol.output = 'c2h4n4_3frag_equil.log'#'/dev/null' | ||
mol.verbose = 5#0 | ||
mol.build () | ||
mf = scf.RHF (mol).run () | ||
las = LASSCF (mf, (4,2,4), ((2,2),(1,1),(2,2)), spin_sub=(1,1,1)) | ||
mo_coeff = las.sort_mo ([7,8,16,18,22,23,24,26,33,34]) | ||
mo_coeff = las.localize_init_guess ([[0,1,2],[3,4,5,6],[7,8,9]], mo_coeff=mo_coeff) | ||
las.kernel (mo_coeff) | ||
lsi = lassi.LASSIS (las).run () | ||
e_equil = lsi.e_roots[0] | ||
with self.subTest ('equil converged'): | ||
self.assertTrue (lsi.converged) | ||
# test | ||
de = 1000 * (e_str - e_equil) | ||
self.assertAlmostEqual (de, 208.21775437138967, 1) | ||
|
||
def test_c2h4n4_2frag (self): | ||
# str | ||
mol = struct (2.0, 2.0, '6-31g', symmetry=False) | ||
mol.output = 'c2h4n4_2frag_str.log'#'/dev/null' | ||
mol.verbose = 5#0 | ||
mol.spin = 8 | ||
mol.build () | ||
mf = scf.RHF (mol).run () | ||
las = lasscf_async.LASSCF (mf, (5,5), ((3,2),(2,3))) | ||
las = las.state_average ([0.5,0.5], | ||
spins=[[1,-1],[-1,1]], | ||
smults=[[2,2],[2,2]], | ||
charges=[[0,0],[0,0]], | ||
wfnsyms=[[0,0],[0,0]]) | ||
mo = las.set_fragments_((list (range (5)), list (range (5,10)))) | ||
las.kernel (mo) | ||
mo_coeff = las.mo_coeff | ||
las = lasscf_async.LASSCF (mf, (5,5), ((3,2),(2,3))) | ||
las.lasci_(mo_coeff) | ||
lsi = lassi.LASSIS (las).run () | ||
e_str = lsi.e_roots[0] | ||
with self.subTest ('str converged'): | ||
self.assertTrue (lsi.converged) | ||
# equil | ||
mol = struct (0.0, 0.0, '6-31g', symmetry=False) | ||
mol.spin = 0 | ||
mol.output = 'c2h4n4_2frag_equil.log'#'/dev/null' | ||
mol.verbose = 5#0 | ||
mol.build () | ||
mf = scf.RHF (mol).run () | ||
las = lasscf_async.LASSCF (mf, (5,5), ((3,2),(2,3))) | ||
las = las.state_average ([0.5,0.5], | ||
spins=[[1,-1],[-1,1]], | ||
smults=[[2,2],[2,2]], | ||
charges=[[0,0],[0,0]], | ||
wfnsyms=[[0,0],[0,0]]) | ||
mo = las.sort_mo ([7,8,16,18,22,23,24,26,33,34]) | ||
mo = las.set_fragments_((list (range (5)), list (range (5,10))), mo) | ||
las.kernel (mo) | ||
mo_coeff = las.mo_coeff | ||
las = lasscf_async.LASSCF (mf, (5,5), ((3,2),(2,3))) | ||
las.lasci_(mo_coeff) | ||
lsi = lassi.LASSIS (las).run () | ||
e_equil = lsi.e_roots[0] | ||
with self.subTest ('equil converged'): | ||
self.assertTrue (lsi.converged) | ||
# test | ||
de = 1000 * (e_str - e_equil) | ||
self.assertAlmostEqual (de, 191.185141573740, 1) | ||
|
||
def test_kremer_cr2_model (self): | ||
xyz='''Cr -1.320780000000 0.000050000000 -0.000070000000 | ||
Cr 1.320770000000 0.000050000000 -0.000070000000 | ||
O 0.000000000000 -0.165830000000 1.454680000000 | ||
O 0.000000000000 1.342770000000 -0.583720000000 | ||
O 0.000000000000 -1.176830000000 -0.871010000000 | ||
H 0.000020000000 0.501280000000 2.159930000000 | ||
H 0.000560000000 1.618690000000 -1.514480000000 | ||
H -0.000440000000 -2.120790000000 -0.644130000000 | ||
N -2.649800000000 -1.445690000000 0.711420000000 | ||
H -2.186960000000 -2.181980000000 1.244400000000 | ||
H -3.053960000000 -1.844200000000 -0.136070000000 | ||
H -3.367270000000 -1.005120000000 1.287210000000 | ||
N -2.649800000000 1.339020000000 0.896300000000 | ||
N -2.649800000000 0.106770000000 -1.607770000000 | ||
H -3.367270000000 -0.612160000000 -1.514110000000 | ||
H -3.053960000000 0.804320000000 1.665160000000 | ||
N 2.649800000000 -1.445680000000 0.711420000000 | ||
N 2.649790000000 1.339030000000 0.896300000000 | ||
N 2.649800000000 0.106780000000 -1.607770000000 | ||
H -2.186970000000 2.168730000000 1.267450000000 | ||
H -3.367270000000 1.617370000000 0.226860000000 | ||
H -2.186960000000 0.013340000000 -2.511900000000 | ||
H -3.053970000000 1.039980000000 -1.529140000000 | ||
H 2.186960000000 -2.181970000000 1.244400000000 | ||
H 3.053960000000 -1.844190000000 -0.136080000000 | ||
H 3.367270000000 -1.005100000000 1.287200000000 | ||
H 2.186950000000 2.168740000000 1.267450000000 | ||
H 3.053960000000 0.804330000000 1.665160000000 | ||
H 3.367260000000 1.617380000000 0.226850000000 | ||
H 2.186960000000 0.013350000000 -2.511900000000 | ||
H 3.053960000000 1.039990000000 -1.529140000000 | ||
H 3.367270000000 -0.612150000000 -1.514110000000''' | ||
basis = {'C': 'sto-3g','H': 'sto-3g','O': 'sto-3g','N': 'sto-3g','Cr': 'cc-pvdz'} | ||
mol = gto.M (atom=xyz, spin=6, charge=3, basis=basis, | ||
verbose=5, output='kremer.log') | ||
#verbose=0, output='/dev/null') | ||
mf = scf.ROHF(mol) | ||
mf.chkfile = 'test_lassis_targets_slow.kremer_cr2_model.chk' | ||
mf.kernel () | ||
las = LASSCF(mf,(6,6),((3,0),(0,3)),spin_sub=(4,4)) | ||
try: | ||
mo_coeff = chkfile.load (las.chkfile, 'las')['mo_coeff'] | ||
except (OSError, TypeError, KeyError) as e: | ||
ncas_avas, nelecas_avas, mo_coeff = avas.kernel (mf, ['Cr 3d', 'Cr 4d'], minao=mol.basis) | ||
mc_avas = mcscf.CASCI (mf, ncas_avas, nelecas_avas) | ||
mo_list = mc_avas.ncore + np.array ([5,6,7,8,9,10,15,16,17,18,19,20]) | ||
mo_coeff = las.sort_mo (mo_list, mo_coeff) | ||
mo_coeff = las.localize_init_guess (([0],[1]), mo_coeff) | ||
las = lassi.spaces.spin_shuffle (las) # generate direct-exchange states | ||
las.weights = [1.0/las.nroots,]*las.nroots # set equal weights | ||
nroots_ref = las.nroots | ||
las.kernel (mo_coeff) # optimize orbitals | ||
mo_coeff = las.mo_coeff | ||
las = LASSCF(mf,(6,6),((3,0),(0,3)),spin_sub=(4,4)) | ||
las.lasci_(mo_coeff) | ||
lsi = lassi.LASSIS (las).run () | ||
with self.subTest('convergence'): | ||
self.assertTrue (lsi.converged) | ||
self.assertAlmostEqual (yamaguchi (lsi.e_roots, lsi.s2, 6), -12.45, 2) | ||
|
||
def test_alfefe (self): | ||
xyz='''O -2.2201982441 0.3991903003 1.6944716989 | ||
O -1.6855532446 -1.7823063217 1.4313995072 | ||
C -2.2685178651 -0.8319550379 1.983951274 | ||
H -2.9133420167 -1.0767285885 2.8437868053 | ||
O 1.3882880809 2.0795561562 -1.3470856753 | ||
O -0.7599088595 2.5809236347 -0.849227704 | ||
C 0.3465674686 2.753895325 -1.438835699 | ||
H 0.3723796145 3.6176996598 -2.1230911503 | ||
O 1.0469609081 -2.6425342 0.9613246722 | ||
O -0.3991903003 2.2201982441 1.6944716989 | ||
O 1.7823063217 1.6855532446 1.4313995072 | ||
C 0.8319550379 2.2685178651 1.983951274 | ||
H 1.0767285885 2.9133420167 2.8437868053 | ||
O -2.0795561562 -1.3882880809 -1.3470856753 | ||
O -2.5809236347 0.7599088595 -0.849227704 | ||
C -2.753895325 -0.3465674686 -1.438835699 | ||
H -3.6176996598 -0.3723796145 -2.1230911503 | ||
Fe -0.3798741893 -1.7926033629 -0.2003377303 | ||
O 0.6422231803 -2.237796553 -1.8929145176 | ||
Fe 1.7926033629 0.3798741893 -0.2003377303 | ||
O 2.237796553 -0.6422231803 -1.8929145176 | ||
O 2.6425342 -1.0469609081 0.9613246722 | ||
Al -1.2362716421 1.2362716421 0.350650148 | ||
O -0.0449501954 0.0449501954 0.0127621413 | ||
C 1.645528685 -1.645528685 -2.3571124654 | ||
H 2.0569062984 -2.0569062984 -3.2945712916 | ||
C 2.1609242811 -2.1609242811 1.2775841868 | ||
H 2.7960805433 -2.7960805433 1.9182443024''' | ||
basis = {'C': 'sto-3g','H': 'sto-3g','O': 'sto-3g','Al': 'cc-pvdz','Fe': 'cc-pvdz'} | ||
mol = gto.M (atom=xyz, spin=9, charge=0, basis=basis, max_memory=10000, | ||
verbose=5, output='alfefe.log') | ||
#verbose=0, output='/dev/null') | ||
mf = scf.ROHF(mol) | ||
mf.init_guess='chk' | ||
mf.chkfile='test_lassis_targets_slow.alfefe.chk' | ||
mf = mf.density_fit() | ||
mf.max_cycle=100 | ||
mf.kernel() | ||
las = LASSCF (mf, (5,5), ((5,1),(5,0)), spin_sub=(5,6)) | ||
try: | ||
las.load_chk_() | ||
las.kernel () | ||
except (OSError, TypeError, KeyError) as e: | ||
ncas, nelecas, mo_coeff = avas.kernel (mf, ['Fe 3d'], openshell_option=3) | ||
mo_coeff = las.localize_init_guess (([17],[19]), mo_coeff) | ||
las.kernel (mo_coeff) | ||
with self.subTest ('LASSCF convergence'): | ||
self.assertTrue (las.converged) | ||
with self.subTest ('same LASSCF result'): | ||
self.assertAlmostEqual (las.e_tot, -3955.98148841553, 6) | ||
mf.chkfile = None # prevent the spins flips down there from messing things up | ||
las2 = LASSCF (mf, (5,5), ((1,5),(5,0)), spin_sub=(5,6)) | ||
las2.lasci_(las.mo_coeff) | ||
lsi = lassi.LASSIS (las2).run () | ||
with self.subTest('LASSI convergence'): | ||
self.assertTrue (lsi.converged) | ||
self.assertAlmostEqual (yamaguchi (lsi.e_roots, lsi.s2, 9), -4.40, 2) | ||
|
||
|
||
if __name__ == "__main__": | ||
print("Full Tests for SA-LASSI of c2h4n4 molecule") | ||
unittest.main() | ||
|
Oops, something went wrong.