def test_init(self):
from pyscf.pbc import dft
cell_u = cell.copy()
cell_u.spin = 2
self.assertTrue(isinstance(pscf.RKS (cell ), dft.rks.RKS ))
self.assertTrue(isinstance(pscf.RKS (cell_u), dft.roks.ROKS ))
self.assertTrue(isinstance(pscf.UKS (cell ), dft.uks.UKS ))
self.assertTrue(isinstance(pscf.ROKS (cell ), dft.roks.ROKS ))
self.assertTrue(isinstance(pscf.KS (cell ), dft.rks.RKS ))
self.assertTrue(isinstance(pscf.KS (cell_u), dft.uks.UKS ))
self.assertTrue(isinstance(pscf.KRKS (cell ), dft.krks.KRKS ))
self.assertTrue(isinstance(pscf.KRKS (cell_u), dft.krks.KRKS ))
self.assertTrue(isinstance(pscf.KUKS (cell ), dft.kuks.KUKS ))
self.assertTrue(isinstance(pscf.KROKS(cell ), dft.kroks.KROKS))
self.assertTrue(isinstance(pscf.KKS (cell ), dft.krks.KRKS ))
self.assertTrue(isinstance(pscf.KKS (cell_u), dft.kuks.KUKS ))
self.assertTrue(isinstance(pscf.RHF (cell ), pscf.hf.RHF ))
self.assertTrue(isinstance(pscf.RHF (cell_u), pscf.rohf.ROHF ))
self.assertTrue(isinstance(pscf.KRHF (cell ), pscf.khf.KRHF ))
self.assertTrue(isinstance(pscf.KRHF (cell_u), pscf.khf.KRHF ))
self.assertTrue(isinstance(pscf.UHF (cell ), pscf.uhf.UHF ))
self.assertTrue(isinstance(pscf.KUHF (cell_u), pscf.kuhf.KUHF ))
self.assertTrue(isinstance(pscf.GHF (cell ), pscf.ghf.GHF ))
self.assertTrue(isinstance(pscf.KGHF (cell_u), pscf.kghf.KGHF ))
self.assertTrue(isinstance(pscf.ROHF (cell ), pscf.rohf.ROHF ))
self.assertTrue(isinstance(pscf.ROHF (cell_u), pscf.rohf.ROHF ))
self.assertTrue(isinstance(pscf.KROHF(cell ), pscf.krohf.KROHF))
self.assertTrue(isinstance(pscf.KROHF(cell_u), pscf.krohf.KROHF))
self.assertTrue(isinstance(pscf.HF (cell ), pscf.hf.RHF ))
self.assertTrue(isinstance(pscf.HF (cell_u), pscf.uhf.UHF ))
self.assertTrue(isinstance(pscf.KHF (cell ), pscf.khf.KRHF ))
self.assertTrue(isinstance(pscf.KHF (cell_u), pscf.kuhf.KUHF ))
def test_small_system(self):
mol = pgto.Cell(atom='H 0 0 0;',
a=[[3, 0, 0], [0, 3, 0], [0, 0, 3]],
basis=[[0, [1, 1]]],
spin=1,
verbose=7,
output='/dev/null')
mf = pscf.KUHF(mol, kpts=[[0., 0., 0.]]).run()
self.assertAlmostEqual(mf.e_tot, -0.10439957735616917, 8)
mol = pgto.Cell(atom='He 0 0 0;',
a=[[3, 0, 0], [0, 3, 0], [0, 0, 3]],
basis=[[0, [1, 1]]],
verbose=7,
output='/dev/null')
mf = pscf.KUHF(mol, kpts=[[0., 0., 0.]]).run()
self.assertAlmostEqual(mf.e_tot, -2.2719576422665635, 8)
def test_uhf_exx_ewald(self):
mf = pscf.UHF(cell, exxdiv='ewald')
mf.init_guess = 'hcore'
e1 = mf.kernel()
self.assertAlmostEqual(e1, -4.3511582287379111, 8)
self.assertTrue(mf.mo_coeff[0].dtype == numpy.double)
kmf = pscf.KUHF(cell, [[0,0,0]], exxdiv='ewald')
kmf.init_guess = 'hcore'
e0 = kmf.kernel()
self.assertTrue(numpy.allclose(e0,e1))
# test bands
numpy.random.seed(1)
kpts_band = numpy.random.random((2,3))
e1a, e1b = mf.get_bands(kpts_band)[0]
e0a, e0b = kmf.get_bands(kpts_band)[0]
self.assertAlmostEqual(abs(e0a[0]-e1a[0]).max(), 0, 5)
self.assertAlmostEqual(abs(e0a[1]-e1a[1]).max(), 0, 5)
self.assertAlmostEqual(abs(e0b[0]-e1b[0]).max(), 0, 5)
self.assertAlmostEqual(abs(e0b[1]-e1b[1]).max(), 0, 5)
self.assertAlmostEqual(lib.finger(e1a[0]), -6.2986775452228283, 5)
self.assertAlmostEqual(lib.finger(e1a[1]), -7.6616273746782362, 5)
numpy.random.seed(1)
k = numpy.random.random(3)
mf = pscf.UHF(cell, k, exxdiv='ewald')
e1 = mf.kernel()
self.assertAlmostEqual(e1, -4.2048655827967139, 8)
self.assertTrue(mf.mo_coeff[0].dtype == numpy.complex128)
kmf = pscf.KUHF(cell, k, exxdiv='ewald')
e0 = kmf.kernel()
self.assertTrue(numpy.allclose(e0,e1))
# test bands
numpy.random.seed(1)
kpts_band = numpy.random.random((2,3))
e1a, e1b = mf.get_bands(kpts_band)[0]
e0a, e0b = kmf.get_bands(kpts_band)[0]
self.assertAlmostEqual(abs(e0a[0]-e1a[0]).max(), 0, 5)
self.assertAlmostEqual(abs(e0a[1]-e1a[1]).max(), 0, 5)
self.assertAlmostEqual(abs(e0b[0]-e1b[0]).max(), 0, 5)
self.assertAlmostEqual(abs(e0b[1]-e1b[1]).max(), 0, 5)
self.assertAlmostEqual(lib.finger(e1a[0]), -6.8312867098806249, 5)
self.assertAlmostEqual(lib.finger(e1a[1]), -6.1120214505413086, 5)
def test_kuhf_stability(self):
kumf = pscf.KUHF(cell, kpts, exxdiv='ewald').run(conv_tol=1e-12)
mo_i, mo_e = kumf.stability(internal=True, external=True)
self.assertAlmostEqual(abs(kumf.mo_coeff[0][0]-mo_i[0][0]).max(), 0, 9)
self.assertAlmostEqual(abs(kumf.mo_coeff[1][0]-mo_i[1][0]).max(), 0, 9)
hop2, hdiag2 = stability._gen_hop_uhf_external(kumf)
self.assertAlmostEqual(lib.fp(hdiag2), 10.977759629315884, 7)
self.assertAlmostEqual(lib.fp(hop2(hdiag2)), 86.425042652868, 5)
def test_he(self):
cell = gto.Cell()
cell.atom = '''
C 0.000000000000 0.000000000000 0.000000000000
C 1.685068664391 1.685068664391 1.685068664391
'''
cell.basis = {'C': [[0, (0.8, 1.0)], [1, (1.0, 1.0)]]}
cell.pseudo = 'gth-pade'
cell.a = '''
0.000000000, 3.370137329, 3.370137329
3.370137329, 0.000000000, 3.370137329
3.370137329, 3.370137329, 0.000000000'''
cell.unit = 'B'
cell.verbose = 5
cell.build()
nmp = [1, 1, 2]
'''
# treating 1*1*2 supercell at gamma point
supcell = super_cell(cell,nmp)
gmf = scf.UHF(supcell,exxdiv=None)
ehf = gmf.kernel()
gcc = cc.UCCSD(gmf)
gcc.conv_tol=1e-12
gcc.conv_tol_normt=1e-10
gcc.max_cycle=250
ecc, t1, t2 = gcc.kernel()
print('UHF energy (supercell) %.7f \n' % (float(ehf)/2.))
print('UCCSD correlation energy (supercell) %.7f \n' % (float(ecc)/2.))
#eom = eom_uccsd.EOMIP(gcc)
#e1, v = eom.ipccsd(nroots=2)
#eom = eom_uccsd.EOMEA(gcc)
#e2, v = eom.eaccsd(nroots=2, koopmans=True)
'''
# Running HF and CCSD with 1x1x2 Monkhorst-Pack k-point mesh
kmf = scf.KUHF(cell, kpts=cell.make_kpts(nmp), exxdiv=None)
ehf2 = kmf.kernel()
mycc = cc.KUCCSD(kmf)
mycc.conv_tol = 1e-7
mycc.conv_tol_normt = 1e-7
mycc.max_cycle = 250
ecc2, t1, t2 = mycc.kernel()
print('UHF energy %.7f \n' % (float(ehf2)))
print('UCCSD correlation energy %.7f \n' % (float(ecc2)))
kptlist = cell.make_kpts(nmp)
eom = EOMIP(mycc)
e1_obt, v = eom.ipccsd(nroots=2, kptlist=[0])
eom = EOMEA(mycc)
e2_obt, v = eom.eaccsd(nroots=2, koopmans=True, kptlist=[0])
print(e1_obt)
print(e2_obt)
def test_eris(self):
numpy.random.seed(1)
kpts = cell.make_kpts([1,1,3])
kmf = scf.KUHF(cell, kpts=kpts, exxdiv=None)
nmo = cell.nao_nr()
kmf.mo_occ = numpy.zeros((2,3,nmo))
kmf.mo_occ[0,:,:3] = 1
kmf.mo_occ[1,:,:1] = 1
kmf.mo_energy = (numpy.arange(nmo) +
numpy.random.random((2,3,nmo)) * .3)
kmf.mo_energy[kmf.mo_occ == 0] += 2
kmf.mo_coeff = (numpy.random.random((2,3,nmo,nmo)) +
numpy.random.random((2,3,nmo,nmo))*1j - .5-.5j)
mycc = kccsd_uhf.UCCSD(kmf)
eris = mycc.ao2mo()
self.assertAlmostEqual(lib.finger(eris.fock[0]), 0.53719738596848132 +0.83031462049142502j, 11)
self.assertAlmostEqual(lib.finger(eris.fock[1]), 0.043623927844025398+0.20815796288019522j, 11)
self.assertAlmostEqual(lib.finger(eris.oooo), 0.10126616996580763 -0.89787173918481156j , 11)
self.assertAlmostEqual(lib.finger(eris.ooov), -0.035814310241888067 +0.20393025075274804j , 11)
self.assertAlmostEqual(lib.finger(eris.oovv), -0.032378345849800663 +0.015060519910448879j , 11)
self.assertAlmostEqual(lib.finger(eris.ovov), 0.017919215232962762 -0.37180556037878837j , 11)
self.assertAlmostEqual(lib.finger(eris.voov), -0.33038865500581482 +0.18384096784449852j , 11)
self.assertAlmostEqual(lib.finger(eris.vovv), 0.078104278754223946 +0.0004014143354997223j, 11)
self.assertAlmostEqual(lib.finger(eris.vvvv), -0.0199910973368542 -0.0019864189992825137j, 11)
self.assertAlmostEqual(lib.finger(eris.OOOO), 0.022687859086726745 +0.0076542690105189095j, 11)
self.assertAlmostEqual(lib.finger(eris.OOOV), -0.024119030579269278 -0.15249100640417029j , 11)
self.assertAlmostEqual(lib.finger(eris.OOVV), 0.085942751462484687 -0.27088394382044989j , 11)
self.assertAlmostEqual(lib.finger(eris.OVOV), 0.35291244981540776 +0.080119865729794376j , 11)
self.assertAlmostEqual(lib.finger(eris.VOOV), 0.0045484393536995267 +0.0094123990059577414j, 11)
self.assertAlmostEqual(lib.finger(eris.VOVV), -0.28341581692294759 +0.0022174023470048921j, 11)
self.assertAlmostEqual(lib.finger(eris.VVVV), 0.96007536729340814 -0.019410945571596398j , 11)
self.assertAlmostEqual(lib.finger(eris.ooOO), -0.32831508979976765 -0.32180378432620471j , 11)
self.assertAlmostEqual(lib.finger(eris.ooOV), 0.33617152217704632 -0.34130555912360216j , 11)
self.assertAlmostEqual(lib.finger(eris.ooVV), -0.00011230004797088339-1.2850251519380604j , 11)
self.assertAlmostEqual(lib.finger(eris.ovOV), 0.1365118156144336 +0.16999367231786541j , 11)
self.assertAlmostEqual(lib.finger(eris.voOV), 0.19736044623396901 -0.047060848969879901j , 11)
self.assertAlmostEqual(lib.finger(eris.voVV), 0.44513499758124858 +0.06343379901453805j , 11)
self.assertAlmostEqual(lib.finger(eris.vvVV), -0.070971875998391304 -0.31253893124900545j , 11)
#self.assertAlmostEqual(lib.finger(eris.OOoo), 0.031140414688898856 -0.23913617484062258j , 11)
self.assertAlmostEqual(lib.finger(eris.OOov), 0.20355552926191381 +0.18712171841650935j , 11)
self.assertAlmostEqual(lib.finger(eris.OOvv), 0.070789122903945706 -0.013360818695166678j , 11)
#self.assertAlmostEqual(lib.finger(eris.OVov), 0.38230103404493437 -0.019845885264560274j , 11)
#self.assertAlmostEqual(lib.finger(eris.VOov), 0.081760186267865437 -0.052409714443657308j , 11)
self.assertAlmostEqual(lib.finger(eris.VOvv), -0.036061642075282056 +0.019284185856121634j , 11)
def test_kuhf_smearing(self):
mf = pscf.KUHF(cell, cell.make_kpts([2,1,1]))
nkpts = len(mf.kpts)
pscf.addons.smearing_(mf, 0.1, 'fermi')
mo_energy_kpts = numpy.array([numpy.arange(nao)*.2+numpy.cos(i+.5)*.1
for i in range(nkpts)])
mo_energy_kpts = numpy.array([mo_energy_kpts,
mo_energy_kpts+numpy.cos(mo_energy_kpts)*.02])
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 6.1803390081500869/2, 9)
mf.smearing_method = 'gauss'
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 0.9554526863670467/2, 9)
def copy_mf(mf, cell):
if mf.__class__.__name__ == 'KRHF':
mf1 = scf.KRHF(cell)
elif mf.__class__.__name__ == 'KUHF':
mf1 = scf.KUHF(cell)
elif mf.__class__.__name__ == 'KRKS':
mf1 = dft.KRKS(cell)
mf1.xc = mf.xc
elif mf.__class__.__name__ == 'KUKS':
mf1 = dft.KUKS(cell)
mf1.xc = mf.xc
mf1.kpts = mf.kpts
mf1.exxdiv = getattr(mf, 'exxdiv', None)
mf1.conv_tol = mf.conv_tol
mf1.conv_tol_grad = mf.conv_tol_grad
return mf1
def test_init_guess_by_chkfile(self):
np.random.seed(1)
k = np.random.random(3)
mf = pscf.KUHF(cell, [k], exxdiv='vcut_sph')
mf.max_cycle = 1
mf.diis = None
e1 = mf.kernel()
self.assertAlmostEqual(e1, -3.3058403617753886, 9)
mf1 = pscf.UHF(cell, exxdiv='vcut_sph')
mf1.chkfile = mf.chkfile
mf1.init_guess = 'chkfile'
mf1.diis = None
mf1.max_cycle = 1
e1 = mf1.kernel()
self.assertAlmostEqual(e1, -3.4204798298887615, 9)
self.assertTrue(mf1.mo_coeff[0].dtype == np.double)
def test_init_guess_by_chkfile(self):
np.random.seed(1)
k = np.random.random(3)
mf = pscf.KUHF(cell, [k], exxdiv='vcut_sph')
mf.max_cycle = 1
mf.diis = None
e1 = mf.kernel()
self.assertAlmostEqual(e1, -3.4070772194665477, 9)
mf1 = pscf.UHF(cell, exxdiv='vcut_sph')
mf1.chkfile = mf.chkfile
mf1.init_guess = 'chkfile'
mf1.diis = None
mf1.max_cycle = 1
e1 = mf1.kernel()
self.assertAlmostEqual(e1, -3.4272925247351256, 9)
self.assertTrue(mf1.mo_coeff[0].dtype == np.double)
def test_kuhf_vs_uhf(self):
np.random.seed(1)
k = np.random.random(3)
mf = pscf.UHF(cell, k, exxdiv='vcut_sph')
dm = mf.get_init_guess(key='1e')
mf.max_cycle = 1
mf.diis = None
e1 = mf.kernel(dm)
nao = cell.nao
kmf = pscf.KUHF(cell, [k], exxdiv='vcut_sph')
kmf.max_cycle = 1
kmf.diis = None
e2 = kmf.kernel(dm.reshape(2, 1, nao, nao))
self.assertAlmostEqual(e1, e2, 9)
self.assertAlmostEqual(e1, -3.498612316383892, 9)
def test_kuccsd_openshell():
cell = gto.M(
unit='B',
a=[[0., 6.74027466, 6.74027466], [6.74027466, 0., 6.74027466],
[6.74027466, 6.74027466, 0.]],
mesh=[13] * 3,
atom='''H 0 0 0
H 1.68506866 1.68506866 1.68506866
H 3.37013733 3.37013733 3.37013733''',
basis=[[0, (1., 1.)], [0, (.5, 1.)]],
verbose=1,
charge=0,
spin=1,
)
nmp = [3, 1, 1]
# cell spin multiplied by nkpts
cell.spin = cell.spin * 3
# treating 3*1*1 supercell at gamma point
supcell = super_cell(cell, nmp)
umf = scf.UHF(supcell, exxdiv=None)
umf.conv_tol = 1e-11
ehf = umf.kernel()
ucc = cc.UCCSD(umf)
ucc.conv_tol = 1e-12
ecc, t1, t2 = ucc.kernel()
print('UHF energy (supercell) %.9f \n' % (float(ehf) / 3.))
print('UCCSD correlation energy (supercell) %.9f \n' % (float(ecc) / 3.))
assert abs(ehf / 3 - -1.003789445) < 1e-7
assert abs(ecc / 3 - -0.029056542) < 1e-6
# kpts calculations
kpts = cell.make_kpts(nmp)
kpts -= kpts[0]
kmf = scf.KUHF(cell, kpts, exxdiv=None)
kmf.conv_tol = 1e-11
ehf = kmf.kernel()
kcc = cc.KUCCSD(kmf)
kcc.conv_tol = 1e-12
ecc, t1, t2 = kcc.kernel()
print('UHF energy (kpts) %.9f \n' % (float(ehf)))
print('UCCSD correlation energy (kpts) %.9f \n' % (float(ecc)))
assert abs(ehf - -1.003789445) < 1e-7
assert abs(ecc - -0.029056542) < 1e-6
def setUpModule():
global cell, mf, kmf, kpts
cell = pgto.Cell()
cell.atom = '''
He 0 0 1
He 1 0 1
'''
cell.basis = '321g'
cell.a = np.eye(3) * 3
cell.mesh = [8] * 3
cell.verbose = 7
cell.output = '/dev/null'
cell.spin = 2
cell.build()
nk = [2, 2, 1]
kpts = cell.make_kpts(nk, wrap_around=True)
kmf = pscf.KUHF(cell, kpts).run()
mf = pscf.UHF(cell).run()
def setUpModule():
global cell, kmf, kpts
cell = gto.Cell()
cell.build(unit='B',
a=[[0., 6.74027466, 6.74027466], [6.74027466, 0., 6.74027466],
[6.74027466, 6.74027466, 0.]],
atom='''H 0 0 0
H 1.68506866 1.68506866 1.68506866
H 3.37013733 3.37013733 3.37013733''',
basis='gth-dzvp',
pseudo='gth-pade',
verbose=7,
output='/dev/null',
charge=0,
spin=None)
cell.spin = 3
kpts = cell.make_kpts([3, 1, 1], scaled_center=[0, 0, 0])
kmf = scf.KUHF(cell, kpts, exxdiv=None).density_fit()
kmf.run()
def test_kuhf_grad(self):
g_scan = scf.KUHF(cell, kpts,
exxdiv=None).nuc_grad_method().as_scanner()
g = g_scan(cell)[1]
self.assertAlmostEqual(finger(g), 0.11476575559553441, 6)
mfs = g_scan.base.as_scanner()
e1 = mfs(
[['C', [0.0, 0.0, 0.0]],
[
'C',
[1.685068664391, 1.685068664391, 1.685068664391 + disp / 2.0]
]])
e2 = mfs(
[['C', [0.0, 0.0, 0.0]],
[
'C',
[1.685068664391, 1.685068664391, 1.685068664391 - disp / 2.0]
]])
self.assertAlmostEqual(g[1, 2], (e1 - e2) / disp, 6)
def test_kuhf_grad(self):
g_scan = scf.KUHF(cell, kpts, exxdiv=None).set(
conv_tol=1e-10, conv_tol_grad=1e-6).nuc_grad_method().as_scanner()
g = g_scan(cell)[1]
self.assertAlmostEqual(lib.fp(g), -0.9017171774435333, 6)
mfs = g_scan.base.as_scanner()
e1 = mfs(
[['C', [0.0, 0.0, 0.0]],
[
'C',
[1.685068664391, 1.685068664391, 1.685068664391 + disp / 2.0]
]])
e2 = mfs(
[['C', [0.0, 0.0, 0.0]],
[
'C',
[1.685068664391, 1.685068664391, 1.685068664391 - disp / 2.0]
]])
self.assertAlmostEqual(g[1, 2], (e1 - e2) / disp, 6)
def test_kuccsd_supercell_vs_kpts_high_cost():
cell = gto.M(
unit = 'B',
a = [[ 0., 3.37013733, 3.37013733],
[ 3.37013733, 0., 3.37013733],
[ 3.37013733, 3.37013733, 0. ]],
mesh = [13]*3,
atom = '''He 0 0 0
He 1.68506866 1.68506866 1.68506866''',
basis = [[0, (1., 1.)], [0, (.5, 1.)]],
verbose = 0,
)
nmp = [3,3,1]
# treating supercell at gamma point
supcell = super_cell(cell,nmp)
gmf = scf.UHF(supcell,exxdiv=None)
ehf = gmf.kernel()
gcc = cc.UCCSD(gmf)
ecc, t1, t2 = gcc.kernel()
print('UHF energy (supercell) %f \n' % (float(ehf)/numpy.prod(nmp)))
print('UCCSD correlation energy (supercell) %f \n' % (float(ecc)/numpy.prod(nmp)))
assert abs(ehf / 9 - -4.343308413289) < 1e-7
assert abs(ecc / 9 - -0.009470753047083676) < 1e-6
# treating mesh of k points
kpts = cell.make_kpts(nmp)
kpts -= kpts[0]
kmf = scf.KUHF(cell,kpts,exxdiv=None)
ehf = kmf.kernel()
kcc = cc.KUCCSD(kmf)
ecc, t1, t2 = kcc.kernel()
print('UHF energy (kpts) %f \n' % ehf)
print('UCCSD correlation energy (kpts) %f \n' % ecc)
assert abs(ehf - -4.343308413289) < 1e-7
assert abs(ecc - -0.009470753047083676) < 1e-6
cell = pgto.Cell()
cell.atom = '''
He 0 0 1
He 1 0 1
'''
cell.basis = '321g'
cell.a = np.eye(3) * 3
cell.mesh = [8] * 3
cell.verbose = 7
cell.output = '/dev/null'
cell.spin = 2
cell.build()
nk = [2, 2, 1]
kpts = cell.make_kpts(nk, wrap_around=True)
kmf = pscf.KUHF(cell, kpts).run()
mf = pscf.UHF(cell).run()
def tearDownModule():
global cell, kmf, mf
cell.stdout.close()
del cell, kmf, mf
class KnownValues(unittest.TestCase):
def test_kuhf_kernel(self):
self.assertAlmostEqual(kmf.e_tot, -4.586720023431593, 8)
def test_uhf_kernel(self):
self.assertAlmostEqual(mf.e_tot, -3.3634535013441855, 8)
def test_kuhf_vs_uhf(self):
def test_he_212_ea_diag_high_cost(self):
kpts = cell.make_kpts([2, 1, 2])
kmf = pbcscf.KUHF(cell, kpts, exxdiv=None)
Escf = kmf.scf()
self._test_ea_diag(kmf)
pseudo='gth-pade',
verbose=5,
charge=0,
spin=1)
cell.spin = cell.spin * 3
kpts = cell.make_kpts([3, 1, 1], scaled_center=[0, 0, 0])
gdf = df.GDF(cell, kpts)
gdf_fname = 'h3_ints_311.h5'
gdf._cderi_to_save = gdf_fname
if not os.path.isfile(gdf_fname):
gdf.build()
chkfname = 'h_311.chk'
if os.path.isfile(chkfname):
kmf = scf.KUHF(cell, kpts, exxdiv=None)
kmf.with_df = gdf
kmf.with_df._cderi = gdf_fname
data = chkfile.load(chkfname, 'scf')
kmf.__dict__.update(data)
else:
kmf = scf.KUHF(cell, kpts, exxdiv=None)
kmf.with_df = gdf
kmf.with_df._cderi = gdf_fname
kmf.conv_tol = 1e-12
kmf.chkfile = chkfname
kmf.kernel()
gw = KUGWAC(kmf)
gw.linearized = False
gw.ac = 'pade'
def kernel(gw,
mo_energy,
mo_coeff,
orbs=None,
kptlist=None,
nw=None,
verbose=logger.NOTE):
'''
GW-corrected quasiparticle orbital energies
Returns:
A list : converged, mo_energy, mo_coeff
'''
mf = gw._scf
if gw.frozen is None:
frozen = 0
else:
frozen = gw.frozen
assert (frozen == 0)
nmoa, nmob = gw.nmo
nocca, noccb = gw.nocc
nvira = nmoa - nocca
nvirb = nmob - noccb
if orbs is None:
orbs = range(nmoa)
if kptlist is None:
kptlist = range(gw.nkpts)
nkpts = gw.nkpts
nklist = len(kptlist)
norbs = len(orbs)
# v_xc
dm = np.array(mf.make_rdm1())
v_mf = np.array(mf.get_veff())
vj = np.array(mf.get_j(dm_kpts=dm))
v_mf[0] = v_mf[0] - (vj[0] + vj[1])
v_mf[1] = v_mf[1] - (vj[0] + vj[1])
for s in range(2):
for k in range(nkpts):
v_mf[s, k] = reduce(
numpy.dot,
(mo_coeff[s, k].T.conj(), v_mf[s, k], mo_coeff[s, k]))
# v_hf from DFT/HF density
if gw.fc:
exxdiv = 'ewald'
else:
exxdiv = None
uhf = scf.KUHF(gw.mol, gw.kpts, exxdiv=exxdiv)
uhf.with_df = gw.with_df
uhf.with_df._cderi = gw.with_df._cderi
vk = uhf.get_veff(gw.mol, dm_kpts=dm)
vj = uhf.get_j(gw.mol, dm_kpts=dm)
vk[0] = vk[0] - (vj[0] + vj[1])
vk[1] = vk[1] - (vj[0] + vj[1])
for s in range(2):
for k in range(nkpts):
vk[s,
k] = reduce(numpy.dot,
(mo_coeff[s, k].T.conj(), vk[s, k], mo_coeff[s, k]))
# Grids for integration on imaginary axis
freqs, wts = _get_scaled_legendre_roots(nw)
# Compute self-energy on imaginary axis i*[0,iw_cutoff]
sigmaI, omega = get_sigma_diag(gw, orbs, kptlist, freqs, wts, iw_cutoff=5.)
# Analytic continuation
coeff_a = []
coeff_b = []
if gw.ac == 'twopole':
for k in range(nklist):
coeff_a.append(AC_twopole_diag(sigmaI[0, k], omega[0], orbs,
nocca))
coeff_b.append(AC_twopole_diag(sigmaI[1, k], omega[1], orbs,
noccb))
elif gw.ac == 'pade':
for k in range(nklist):
coeff_a_tmp, omega_fit_a = AC_pade_thiele_diag(
sigmaI[0, k], omega[0])
coeff_b_tmp, omega_fit_b = AC_pade_thiele_diag(
sigmaI[1, k], omega[1])
coeff_a.append(coeff_a_tmp)
coeff_b.append(coeff_b_tmp)
omega_fit = np.asarray((omega_fit_a, omega_fit_b))
coeff = np.asarray((coeff_a, coeff_b))
conv = True
# This code does not support metals
h**o = -99.
lumo = 99.
mo_energy = np.asarray(mf.mo_energy)
for k in range(nkpts):
if h**o < max(mo_energy[0, k][nocca - 1], mo_energy[1, k][noccb - 1]):
h**o = max(mo_energy[0, k][nocca - 1], mo_energy[1, k][noccb - 1])
if lumo > min(mo_energy[0, k][nocca], mo_energy[1, k][noccb]):
lumo = min(mo_energy[0, k][nocca], mo_energy[1, k][noccb])
ef = (h**o + lumo) / 2.
mo_energy = np.zeros_like(np.array(mf.mo_energy))
for s in range(2):
for k in range(nklist):
kn = kptlist[k]
for p in orbs:
if gw.linearized:
# linearized G0W0
de = 1e-6
ep = mf.mo_energy[s][kn][p]
#TODO: analytic sigma derivative
if gw.ac == 'twopole':
sigmaR = two_pole(ep - ef, coeff[s, k, :,
p - orbs[0]]).real
dsigma = two_pole(
ep - ef + de,
coeff[s, k, :, p - orbs[0]]).real - sigmaR.real
elif gw.ac == 'pade':
sigmaR = pade_thiele(ep - ef, omega_fit[s,
p - orbs[0]],
coeff[s, k, :, p - orbs[0]]).real
dsigma = pade_thiele(
ep - ef + de, omega_fit[s, p - orbs[0]],
coeff[s, k, :, p - orbs[0]]).real - sigmaR.real
zn = 1.0 / (1.0 - dsigma / de)
e = ep + zn * (sigmaR.real + vk[s, kn, p, p].real -
v_mf[s, kn, p, p].real)
mo_energy[s, kn, p] = e
else:
# self-consistently solve QP equation
def quasiparticle(omega):
if gw.ac == 'twopole':
sigmaR = two_pole(omega - ef,
coeff[s, k, :, p - orbs[0]]).real
elif gw.ac == 'pade':
sigmaR = pade_thiele(omega - ef,
omega_fit[s, p - orbs[0]],
coeff[s, k, :,
p - orbs[0]]).real
return omega - mf.mo_energy[s][kn][p] - (
sigmaR.real + vk[s, kn, p, p].real -
v_mf[s, kn, p, p].real)
try:
e = newton(quasiparticle,
mf.mo_energy[s][kn][p],
tol=1e-6,
maxiter=100)
mo_energy[s, kn, p] = e
except RuntimeError:
conv = False
mo_coeff = mf.mo_coeff
if gw.verbose >= logger.DEBUG:
numpy.set_printoptions(threshold=nmoa)
for k in range(nkpts):
logger.debug(gw, ' GW mo_energy spin-up @ k%d =\n%s', k,
mo_energy[0, k])
for k in range(nkpts):
logger.debug(gw, ' GW mo_energy spin-down @ k%d =\n%s', k,
mo_energy[1, k])
numpy.set_printoptions(threshold=1000)
return conv, mo_energy, mo_coeff
def init_scf(self, cell=None, method=None, verbose=None, damp=None,
shift=None, kpts=None, grid_level=None, rho_cutoff=None,
density_fit=None, auxbasis=None):
"""
Initializes the supersystem PySCF SCF object using given settings.
Parameters
----------
cell : pyscf.pbc.gto.Cell object
Concatenated supersystem Cell object
fs_method : str
Supersystem SCF method
verbose : int
PySCF verbosity parameter for output
damp : float
Damping parameter for SCF convergence
shift : float
Energy level shift parameter for convergence
Returns
-------
scf_obj : pyscf.pbc.SCF object
SCF object for the supersystem
"""
import pyscf
from pyscf.pbc import scf as pbcscf, df as pbcdf, dft as pbcdft
if cell is None:
cell = self.cell
if method is None:
method = self.fs_method
if verbose is None:
verbose = self.verbose
if damp is None:
damp = self.fs_damp
if shift is None:
shift = self.fs_shift
if kpts is None:
kpts = self.kpts
if grid_level is None:
grid_level = self.grid_level
if rho_cutoff is None:
rho_cutoff = self.rho_cutoff
if density_fit is None:
density_fit = self.density_fit
if auxbasis is None:
auxbasis = self.auxbasis
# if self.pmem:
# self.cell.max_memory = self.pmem
nkpts = len(kpts)
if self.unrestricted:
if method in ('hf', 'hartree-fock'):
scf_obj = pbcscf.KUHF(cell, kpts)
else:
scf_obj = pbcscf.KUKS(cell, kpts)
scf_obj.xc = method
elif cell.spin != 0:
if method in ('hf', 'hartree-fock'):
scf_obj = pbcscf.KROHF(cell, kpts)
else:
scf_obj = pbcscf.KROKS(cell, kpts)
scf_obj.xc = method
else:
if method in ('hf', 'hartree-fock'):
scf_obj = pbcscf.KRHF(cell, kpts)
else:
scf_obj = pbcscf.KRKS(cell, kpts)
scf_obj.xc = method
scf_obj.kpts = kpts
scf_obj.verbose = verbose
# build grids
scf_obj.grids = pbcdft.gen_grid.BeckeGrids(cell)
scf_obj.grids.level = grid_level
scf_obj.grids.build()
# density fitting (can be very time consuming)
if density_fit == 'fftdf':
DensityFit = pbcdf.FFTDF
elif density_fit == 'mdf':
DensityFit = pbcdf.MDF
elif density_fit == 'pwdf':
DensityFit = pbcdf.PWDF
elif density_fit == 'gdf':
DensityFit = pbcdf.GDF
elif density_fit == 'aftdf':
DensityFit = pbcdf.AFTDF
else:
DensityFit = pbcdf.DF
scf_obj.with_df = DensityFit(cell)
scf_obj.with_df.kpts = kpts
scf_obj.with_df.auxbasis = auxbasis
scf_obj.damp = damp
self.smat = scf_obj.get_ovlp()
return scf_obj
[numpy.dot(mo, u[k]) for k, mo in enumerate(mo_coeff)])
return KRHF()
if __name__ == '__main__':
import pyscf.pbc.gto as pbcgto
import pyscf.pbc.scf as pscf
cell = pbcgto.Cell()
cell.atom = '''
He 0 0 1
He 1 0 1
'''
cell.basis = 'ccpvdz'
cell.a = numpy.eye(3) * 4
cell.gs = [8] * 3
cell.verbose = 4
cell.build()
nks = [2, 1, 1]
mf = pscf.KRHF(cell, cell.make_kpts(nks))
mf.max_cycle = 2
mf.kernel()
mf.max_cycle = 5
pscf.newton(mf).kernel()
mf = pscf.KUHF(cell, cell.make_kpts(nks))
mf.max_cycle = 2
mf.kernel()
mf.max_cycle = 5
pscf.newton(mf).kernel()
def test_he_131_ea_diag(self):
kpts = cell.make_kpts([1, 3, 1])
kmf = pbcscf.KUHF(cell, kpts, exxdiv=None)
Escf = kmf.scf()
self._test_ea_diag(kmf)
def test_he_112_ip_diag(self):
kpts = cell.make_kpts([1, 1, 2])
kmf = pbcscf.KUHF(cell, kpts, exxdiv=None)
Escf = kmf.scf()
self._test_ip_diag(kmf)
def test_convert_to_kscf(self):
from pyscf.pbc import df
from pyscf.soscf import newton_ah
cell1 = cell.copy()
cell1.verbose = 0
pscf.addons.convert_to_rhf(pscf.KRHF(cell1))
pscf.addons.convert_to_uhf(pscf.KRHF(cell1))
pscf.addons.convert_to_ghf(pscf.KRHF(cell1))
pscf.addons.convert_to_rhf(pscf.KROHF(cell1))
pscf.addons.convert_to_uhf(pscf.KROHF(cell1))
pscf.addons.convert_to_ghf(pscf.KROHF(cell1))
pscf.addons.convert_to_rhf(pscf.KUHF(cell1))
pscf.addons.convert_to_uhf(pscf.KUHF(cell1))
pscf.addons.convert_to_ghf(pscf.KUHF(cell1))
#pscf.addons.convert_to_rhf(pscf.KGHF(cell1))
#pscf.addons.convert_to_uhf(pscf.KGHF(cell1))
pscf.addons.convert_to_ghf(pscf.KGHF(cell1))
self.assertTrue(
isinstance(
pscf.addons.convert_to_rhf(
pscf.KRHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
self.assertFalse(
isinstance(
pscf.addons.convert_to_uhf(
pscf.KRHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
self.assertFalse(
isinstance(
pscf.addons.convert_to_ghf(
pscf.KRHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
self.assertFalse(
isinstance(
pscf.addons.convert_to_rhf(
pscf.KUHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
self.assertTrue(
isinstance(
pscf.addons.convert_to_uhf(
pscf.KUHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
self.assertFalse(
isinstance(
pscf.addons.convert_to_ghf(
pscf.KUHF(cell1).newton().density_fit().x2c()),
newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_rhf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_uhf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertTrue (isinstance(pscf.addons.convert_to_ghf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
mf1 = pscf.khf.KRHF(cell1)
cell2 = cell1.copy()
cell2.spin = 2
self.assertTrue(isinstance(mf1.convert_from_(kmf_u), pscf.khf.KRHF))
self.assertTrue(
isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.khf.KRHF))
self.assertFalse(
isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.krohf.KROHF))
self.assertFalse(
isinstance(mf1.convert_from_(kmf_u.newton()),
newton_ah._CIAH_SOSCF))
self.assertTrue(
isinstance(
mf1.convert_from_(pscf.KUHF(cell2).density_fit()).with_df,
df.df.GDF))
self.assertTrue(
isinstance(
mf1.convert_from_(pscf.KUHF(cell2).mix_density_fit()).with_df,
df.mdf.MDF))
self.assertFalse(
isinstance(mf1.convert_from_(pscf.KROHF(cell2)), pscf.krohf.KROHF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
mf1 = pscf.krohf.KROHF(cell1)
self.assertTrue(isinstance(mf1.convert_from_(kmf_u), pscf.krohf.KROHF))
self.assertTrue(
isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.krohf.KROHF))
self.assertFalse(
isinstance(mf1.convert_from_(kmf_u.newton()),
newton_ah._CIAH_SOSCF))
self.assertTrue(
isinstance(
mf1.convert_from_(pscf.KUHF(cell2).density_fit()).with_df,
df.df.GDF))
self.assertTrue(
isinstance(
mf1.convert_from_(pscf.KUHF(cell2).mix_density_fit()).with_df,
df.mdf.MDF))
self.assertTrue(isinstance(mf1.convert_from_(kmf_r), pscf.krohf.KROHF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
mf1 = pscf.kuhf.KUHF(cell1)
self.assertTrue(isinstance(mf1.convert_from_(kmf_r), pscf.kuhf.KUHF))
self.assertFalse(
isinstance(mf1.convert_from_(kmf_r.newton()),
newton_ah._CIAH_SOSCF))
self.assertTrue(
isinstance(
mf1.convert_from_(kmf_r.density_fit()).with_df, df.df.GDF))
self.assertTrue(
isinstance(
mf1.convert_from_(kmf_ro.mix_density_fit()).with_df,
df.mdf.MDF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
def test_he_112_ea_diag_shift(self):
kpts = cell.make_kpts([1, 1, 2])
kmf = pbcscf.KUHF(cell, kpts, exxdiv=None)
Escf = kmf.scf()
self._test_ea_diag(kmf, kshift=1)
cell.unit = 'B'
cell.atom = '''
C 0. 0. 0.
C 1.68506879 1.68506879 1.68506879
'''
cell.a = '''
0. 3.37013758 3.37013758
3.37013758 0. 3.37013758
3.37013758 3.37013758 0.
'''
cell.basis = 'gth-szv'
cell.pseudo = 'gth-pade'
cell.mesh = [37] * 3
cell.build()
mf = scf.KUHF(cell, cell.make_kpts([2, 1, 1])).set(exxdiv=None)
# mf.with_df = df.DF(cell, cell.make_kpts([2,1,1]))
# mf.with_df.auxbasis = 'weigend'
# mf.with_df._cderi = 'eri3d-df.h5'
# mf.with_df.build(with_j3c=False)
mf.run()
td = TDA(mf)
td.verbose = 5
td.nstates = 5
print(td.kernel()[0] * 27.2114)
td = TDHF(mf)
td.verbose = 5
td.nstates = 5
print(td.kernel()[0] * 27.2114)
cell = gto.Cell()
cell.build(unit='B',
a=[[0., 6.74027466, 6.74027466], [6.74027466, 0., 6.74027466],
[6.74027466, 6.74027466, 0.]],
atom='''H 0 0 0
H 1.68506866 1.68506866 1.68506866
H 3.37013733 3.37013733 3.37013733''',
basis='gth-dzvp',
pseudo='gth-pade',
verbose=7,
output='/dev/null',
charge=0,
spin=None)
cell.spin = 3
kpts = cell.make_kpts([3, 1, 1], scaled_center=[0, 0, 0])
kmf = scf.KUHF(cell, kpts, exxdiv=None).density_fit()
kmf.run()
def tearDownModule():
global cell, kmf
cell.stdout.close()
del cell, kmf
class KnownValues(unittest.TestCase):
def test_gwac_pade(self):
gw = kugw_ac.KUGWAC(kmf)
gw.linearized = False
gw.ac = 'pade'
gw.fc = False
def test_nr_kuhf(self):
mf = scf.KUHF(cell, cell.make_kpts([2, 1, 1]))
mf = scf.newton(mf)
mf.conv_tol_grad = 1e-4
mf.kernel()
self.assertAlmostEqual(mf.e_tot, -10.5309059210831, 8)
