def _test_cu_metallic_frozen_vir(self, kmf, cell, nk=[1, 1, 1]):
assert cell.mesh == [7, 7, 7]
ecc3_bench = -0.94610600274627665
max_cycle = 2
# The following calculation at full convergence gives -0.58688462599474
# for a cell.mesh = [25, 25, 25]. It is equivalent to a supercell [1, 1, 2]
# calculation with frozen = [0, 3, 35].
mycc = pbcc.KGCCSD(kmf, frozen=[[2, 3, 34, 35], [0, 1]])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
eris = mycc.ao2mo()
eris.mo_energy = [f.diagonal() for f in eris.fock]
ecc3, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ecc3, ecc3_bench, 6)
check_gamma = False # Turn me on to run the supercell calculation!
if check_gamma:
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
kmf = pbcscf.RHF(supcell, exxdiv=None)
ehf = kmf.scf()
mycc = pbcc.RCCSD(kmf, frozen=[0, 3, 35])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
ecc, t1, t2 = mycc.kernel()
print('Gamma energy =', ecc / np.prod(nk))
print('K-point energy =', ecc3)
def test_h4_fcc_k2_frozen_high_cost(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = build_h_cell()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
frozen = [[0, 3], []]
mymp = pyscf.pbc.mp.kmp2.KMP2(kmf, frozen=frozen)
ekmp2, _ = mymp.kernel()
self.assertAlmostEqual(ekmp2, -0.022416773725207319, 6)
self.assertAlmostEqual(mymp.e_tot, 2.155470531550681, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
mysmp = pyscf.pbc.mp.kmp2.KMP2(mf, frozen=[0, 7])
emp2, _ = mysmp.kernel()
emp2 /= np.prod(nmp)
self.assertAlmostEqual(emp2, -0.022416773725207319, 6)
def _test_cu_metallic_frozen_vir(self, kmf, cell, nk=[1,1,1]):
assert cell.mesh == [7, 7, 7]
ecc3_bench = -0.94610600274627665
max_cycle = 2
# The following calculation at full convergence gives -0.58688462599474
# for a cell.mesh = [25, 25, 25]. It is equivalent to a supercell [1, 1, 2]
# calculation with frozen = [0, 3, 35].
mycc = pbcc.KGCCSD(kmf, frozen=[[2, 3, 34, 35], [0, 1]])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
eris = mycc.ao2mo()
eris.mo_energy = [f.diagonal() for f in eris.fock]
ecc3, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ecc3, ecc3_bench, 6)
check_gamma = False # Turn me on to run the supercell calculation!
if check_gamma:
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
kmf = pbcscf.RHF(supcell, exxdiv=None)
ehf = kmf.scf()
mycc = pbcc.RCCSD(kmf, frozen=[0, 3, 35])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
ecc, t1, t2 = mycc.kernel()
print('Gamma energy =', ecc/np.prod(nk))
print('K-point energy =', ecc3)
def _test_cu_metallic_frozen_vir(self, kmf, cell, nk=[1,1,1]):
assert cell.mesh == [7, 7, 7]
ecc3_bench = -0.76794053711557086
max_cycle = 5
# The following calculation at full convergence gives -0.58688462599474
# for a cell.mesh = [25, 25, 25]. It is equivalent to a supercell [1, 1, 2]
# calculation with frozen = [0, 3, 35].
mycc = pyscf.pbc.cc.kccsd_rhf.RCCSD(kmf, frozen=[[1, 17], [0]])
mycc.diis_start_cycle = 1
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
ecc3, t1, t2 = mycc.kernel()
self.assertAlmostEqual(ecc3, ecc3_bench, 6)
check_gamma = False # Turn me on to run the supercell calculation!
if check_gamma:
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
kmf = pbcscf.RHF(supcell, exxdiv=None)
ehf = kmf.scf()
mycc = pyscf.pbc.cc.RCCSD(kmf, frozen=[0, 3, 35])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
ecc, t1, t2 = mycc.kernel()
print('Gamma energy =', ecc/np.prod(nk))
print('K-point energy =', ecc3)
def setUpClass(cls):
cls.cell = cell = Cell()
# Lift some degeneracies
cell.atom = '''
C 0.000000000000 0.000000000000 0.000000000000
C 1.67 1.68 1.69
'''
cell.basis = {'C': [[0, (0.8, 1.0)],
[1, (1.0, 1.0)]]}
# cell.basis = 'gth-dzvp'
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()
k = cell.make_kpts([cls.k, 1, 1])
# The Gamma-point reference
cls.model_rks = model_rks = KRKS(super_cell(cell, [cls.k, 1, 1]))
model_rks.conv_tol = 1e-14
model_rks.kernel()
# K-points
cls.model_krks = model_krks = KRKS(cell, k)
model_krks.conv_tol = 1e-14
model_krks.kernel()
adjust_mf_phase(model_rks, model_krks)
ke = numpy.concatenate(model_krks.mo_energy)
ke.sort()
# Make sure mo energies are the same
testing.assert_allclose(model_rks.mo_energy[0], ke)
# TD
cls.td_model_rks = td_model_rks = tdp.TDProxy(model_rks, "dft")
td_model_rks.kernel()
cls.td_model_krks = td_model_krks = ktdp.TDProxy(model_krks, "dft", [cls.k, 1, 1], KRKS)
td_model_krks.kernel()
# GW
cls.gw = gw.GW(td_model_rks, td.TDRHF(model_rks).ao2mo())
cls.kgw = kgw.GW(td_model_krks, ktd.TDRHF(model_krks).ao2mo())
cls.order_k, cls.order_p, cls.order = ov_order_supercell(cls.kgw.imds)
orbs = []
for k in range(cls.k):
for o in numpy.arange(2, 6):
orbs.append(numpy.where(numpy.logical_and(cls.order_k == k, cls.order_p == o))[0][0])
cls.gw.orbs = numpy.array(orbs)
cls.kgw.orbs = numpy.arange(2, 6)
def test_dmd_high_cost(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.GHF(supcell,exxdiv=None)
ehf = gmf.kernel()
gcc = cc.GCCSD(gmf)
gcc.conv_tol=1e-12
gcc.conv_tol_normt=1e-10
gcc.max_cycle=250
ecc, t1, t2 = gcc.kernel()
print('GHF energy (supercell) %.7f \n' % (float(ehf)/2.))
print('GCCSD correlation energy (supercell) %.7f \n' % (float(ecc)/2.))
eom = eom_gccsd.EOMIP(gcc)
e1, v = eom.ipccsd(nroots=2)
eom = eom_gccsd.EOMEA(gcc)
e2, v = eom.eaccsd(nroots=2, koopmans=True)
# Running HF and CCSD with 1x1x2 Monkhorst-Pack k-point mesh
kmf = scf.KGHF(cell, kpts=cell.make_kpts(nmp), exxdiv=None)
ehf2 = kmf.kernel()
mycc = cc.KGCCSD(kmf)
mycc.conv_tol = 1e-12
mycc.conv_tol_normt = 1e-10
mycc.max_cycle=250
ecc2, t1, t2 = mycc.kernel()
print('GHF energy %.7f \n' % (float(ehf2)))
print('GCCSD 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])
assert(ehf/2 - ehf2 < 1e-10)
assert(ecc/2 - ecc2 < 1e-10)
assert(e1[0]-(e1_obt[0][0]) < 1e-7)
assert(e2[0]-(e2_obt[0][0]) < 1e-7)
def test_dmd_high_cost(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.GHF(supcell, exxdiv=None)
ehf = gmf.kernel()
gcc = cc.GCCSD(gmf)
gcc.conv_tol = 1e-12
gcc.conv_tol_normt = 1e-10
gcc.max_cycle = 250
ecc, t1, t2 = gcc.kernel()
print('GHF energy (supercell) %.7f \n' % (float(ehf) / 2.))
print('GCCSD correlation energy (supercell) %.7f \n' %
(float(ecc) / 2.))
eom = eom_gccsd.EOMIP(gcc)
e1, v = eom.ipccsd(nroots=2)
eom = eom_gccsd.EOMEA(gcc)
e2, v = eom.eaccsd(nroots=2, koopmans=True)
# Running HF and CCSD with 1x1x2 Monkhorst-Pack k-point mesh
kmf = scf.KGHF(cell, kpts=cell.make_kpts(nmp), exxdiv=None)
ehf2 = kmf.kernel()
mycc = cc.KGCCSD(kmf)
mycc.conv_tol = 1e-12
mycc.conv_tol_normt = 1e-10
mycc.max_cycle = 250
ecc2, t1, t2 = mycc.kernel()
print('GHF energy %.7f \n' % (float(ehf2)))
print('GCCSD 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])
assert (ehf / 2 - ehf2 < 1e-10)
assert (ecc / 2 - ecc2 < 1e-10)
assert (e1[0] - (e1_obt[0][0]) < 1e-7)
assert (e2[0] - (e2_obt[0][0]) < 1e-7)
def _test_cu_metallic_frozen_vir(self, kmf, cell):
assert cell.mesh == [7, 7, 7]
ecc3_bench = -0.76794053711557086
max_cycle = 5
# The following calculation at full convergence gives -0.58688462599474
# for a cell.mesh = [25, 25, 25]. It is equivalent to a supercell [1, 1, 2]
# calculation with frozen = [0, 3, 35].
mycc = pbcc.kccsd_rhf.RCCSD(kmf, frozen=[[1, 17], [0]])
mycc.diis_start_cycle = 1
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
eris = mycc.ao2mo()
eris.mo_energy = [f.diagonal() for f in eris.fock]
ecc3, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ecc3, ecc3_bench, 6)
ew, ev = mycc.ipccsd(nroots=3, koopmans=True, kptlist=[1])
self.assertAlmostEqual(ew[0][0], -3.028339571372944, 3)
self.assertAlmostEqual(ew[0][1], -2.850636489429295, 3)
self.assertAlmostEqual(ew[0][2], -2.801491561537961, 3)
ew, ev = mycc.eaccsd(nroots=3, koopmans=True, kptlist=[1])
self.assertAlmostEqual(ew[0][0], 3.266064683223669, 2)
self.assertAlmostEqual(ew[0][1], 3.281390137070985, 2)
self.assertAlmostEqual(ew[0][2], 3.426297911456726, 2)
check_gamma = False # Turn me on to run the supercell calculation!
nk = [1, 1, 2]
if check_gamma:
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
kmf = pbcscf.RHF(supcell, exxdiv=None)
ehf = kmf.scf()
mycc = pbcc.RCCSD(kmf, frozen=[0, 3, 35])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.04
ecc, t1, t2 = mycc.kernel()
print('Gamma energy =', ecc / np.prod(nk))
print('K-point energy =', ecc3_bench)
ew, ev = mycc.ipccsd(nroots=5)
# For cell mesh of [25, 25, 25], we get:
#
# EOM-CCSD root 0 E = -3.052456841625895
# EOM-CCSD root 1 E = -2.989798972232893
# EOM-CCSD root 2 E = -2.839646545189692
# EOM-CCSD root 3 E = -2.836645046801352
# EOM-CCSD root 4 E = -2.831020659800223
ew, ev = mycc.eaccsd(nroots=5)
def _test_cu_metallic_frozen_vir(self, kmf, cell):
assert cell.mesh == [7, 7, 7]
ecc3_bench = -0.76794053711557086
max_cycle = 5
# The following calculation at full convergence gives -0.58688462599474
# for a cell.mesh = [25, 25, 25]. It is equivalent to a supercell [1, 1, 2]
# calculation with frozen = [0, 3, 35].
mycc = pbcc.kccsd_rhf.RCCSD(kmf, frozen=[[1, 17], [0]])
mycc.diis_start_cycle = 1
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.05
eris = mycc.ao2mo()
eris.mo_energy = [f.diagonal() for f in eris.fock]
ecc3, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ecc3, ecc3_bench, 6)
ew, ev = mycc.ipccsd(nroots=3, koopmans=True, kptlist=[1])
self.assertAlmostEqual(ew[0][0], -3.028339571372944, 3)
self.assertAlmostEqual(ew[0][1], -2.850636489429295, 3)
self.assertAlmostEqual(ew[0][2], -2.801491561537961, 3)
ew, ev = mycc.eaccsd(nroots=3, koopmans=True, kptlist=[1])
self.assertAlmostEqual(ew[0][0], 3.266064683223669, 2)
self.assertAlmostEqual(ew[0][1], 3.281390137070985, 2)
self.assertAlmostEqual(ew[0][2], 3.426297911456726, 2)
check_gamma = False # Turn me on to run the supercell calculation!
if check_gamma:
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
kmf = pbcscf.RHF(supcell, exxdiv=None)
ehf = kmf.scf()
mycc = pbcc.RCCSD(kmf, frozen=[0, 3, 35])
mycc.max_cycle = max_cycle
mycc.iterative_damping = 0.04
ecc, t1, t2 = mycc.kernel()
print('Gamma energy =', ecc/np.prod(nk))
print('K-point energy =', ecc3_bench)
ew, ev = mycc.ipccsd(nroots=5)
# For cell mesh of [25, 25, 25], we get:
#
# EOM-CCSD root 0 E = -3.052456841625895
# EOM-CCSD root 1 E = -2.989798972232893
# EOM-CCSD root 2 E = -2.839646545189692
# EOM-CCSD root 3 E = -2.836645046801352
# EOM-CCSD root 4 E = -2.831020659800223
ew, ev = mycc.eaccsd(nroots=5)
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1., 0., 0.], [0., 1., 0], [0, 0, 2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [
[0, [1.0, 1]],
]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(
np.dot(np.array(cell.atom[i][1]), np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
frozen = [[0, 3], []]
mymp = pyscf.pbc.mp.kmp2.KMP2(kmf, frozen=frozen)
ekmp2, _ = mymp.kernel()
self.assertAlmostEqual(ekmp2, -0.022416773725207319, 6)
self.assertAlmostEqual(mymp.e_tot, 2.155470531550681, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
mysmp = pyscf.pbc.mp.kmp2.KMP2(mf, frozen=[0, 7])
emp2, _ = mysmp.kernel()
emp2 /= np.prod(nmp)
self.assertAlmostEqual(emp2, -0.022416773725207319, 6)
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1.,0.,0.],[0.,1.,0],[0,0,2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [[0, [1.0, 1]],]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(np.dot(np.array(cell.atom[i][1]),np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0,0.0,0.0])
e = kmf.kernel()
frozen = [[0, 3], []]
mymp = pyscf.pbc.mp.kmp2.KMP2(kmf, frozen=frozen)
ekmp2, _ = mymp.kernel()
self.assertAlmostEqual(ekmp2, -0.022416773725207319, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
mysmp = pyscf.pbc.mp.kmp2.KMP2(mf, frozen=[0, 7])
emp2, _ = mysmp.kernel()
emp2 /= np.prod(nmp)
self.assertAlmostEqual(emp2, -0.022416773725207319, 6)
def setUpClass(cls):
cls.cell = cell = Cell()
# Lift some degeneracies
cell.atom = '''
C 0.000000000000 0.000000000000 0.000000000000
C 1.67 1.68 1.69
'''
cell.basis = {'C': [[0, (0.8, 1.0)], [1, (1.0, 1.0)]]}
# cell.basis = 'gth-dzvp'
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()
k = cell.make_kpts([cls.k, 1, 1], scaled_center=cls.k_c)
# The Gamma-point reference
cls.model_rhf = model_rhf = RHF(super_cell(cell, [cls.k, 1, 1]),
kpt=k[0]).density_fit()
model_rhf.conv_tol = 1e-14
model_rhf.kernel()
# K-points
cls.model_krhf = model_krhf = KRHF(cell, k).density_fit()
model_krhf.conv_tol = 1e-14
model_krhf.kernel()
adjust_mf_phase(model_rhf, model_krhf)
ke = numpy.concatenate(model_krhf.mo_energy)
ke.sort()
# Make sure mo energies are the same
testing.assert_allclose(model_rhf.mo_energy, ke)
# Make sure no degeneracies are present
testing.assert_array_less(1e-4, ke[1:] - ke[:-1])
cls.ov_order = ov_order(model_krhf)
# The Gamma-point TD
cls.td_model_rhf = td_model_rhf = td.TDRHF(model_rhf)
td_model_rhf.kernel()
cls.ref_m = td_model_rhf.eri.tdhf_full_form()
def get_phase(self, cell=None, kpts=None, kmesh=None):
'''
Get a super cell and the phase matrix that transform from real to k-space
'''
if kmesh is None: kmesh = w90.mp_grid_loc
if cell is None: cell = self.cell
if kpts is None: kpts = self.kpts
a = cell.lattice_vectors()
Ts = lib.cartesian_prod(
(np.arange(kmesh[0]), np.arange(kmesh[1]), np.arange(kmesh[2])))
Rs = np.dot(Ts, a)
NRs = Rs.shape[0]
phase = 1 / np.sqrt(NRs) * np.exp(1j * Rs.dot(kpts.T))
scell = pbctools.super_cell(cell, kmesh)
return scell, phase
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 test_ccsd_t_non_hf_frozen(self):
'''Tests ccsd and ccsd_t for non-Hartree-Fock references with frozen orbitals
using supercell vs k-point calculation.'''
n = 14
cell = make_test_cell.test_cell_n3([n] * 3)
#import sys
#cell.stdout = sys.stdout
#cell.verbose = 7
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcdft.KRKS(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf, frozen=1)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcdft.RKS(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf, frozen=2)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc / np.prod(nk), -0.11467718013872311, 6)
self.assertAlmostEqual(ercc / np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t / np.prod(nk), -0.00066503872045200996,
6)
self.assertAlmostEqual(ercc_t / np.prod(nk), ekcc_t, 6)
def test_ccsd_t_non_hf_frozen(self):
'''Tests ccsd and ccsd_t for non-Hartree-Fock references with frozen orbitals.'''
n = 14
cell = make_test_cell.test_cell_n3([n]*3)
#import sys
#cell.stdout = sys.stdout
#cell.verbose = 7
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcdft.KRKS(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf, frozen=1)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcdft.RKS(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf, frozen=2)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc/np.prod(nk), -0.11467718013872311, 6)
self.assertAlmostEqual(ercc/np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t/np.prod(nk), -0.00066503872045200996, 6)
self.assertAlmostEqual(ercc_t/np.prod(nk), ekcc_t, 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
def test_ccsd_t_non_hf(self):
'''Tests ccsd and ccsd_t for non-Hartree-Fock references
using supercell vs k-point calculation.'''
n = 14
cell = make_test_cell.test_cell_n3([n] * 3)
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcdft.KRKS(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcdft.RKS(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc / np.prod(nk), -0.15632445245405927, 6)
self.assertAlmostEqual(ercc / np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t / np.prod(nk), -0.00114619248449, 6)
self.assertAlmostEqual(ercc_t / np.prod(nk), ekcc_t, 6)
def test_ccsd_t_non_hf(self):
'''Tests ccsd and ccsd_t for non-Hartree-Fock references.'''
n = 14
cell = make_test_cell.test_cell_n3([n]*3)
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcdft.KRKS(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcdft.RKS(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc/np.prod(nk), -0.15632445245405927, 6)
self.assertAlmostEqual(ercc/np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t/np.prod(nk), -0.00114619248449, 6)
self.assertAlmostEqual(ercc_t/np.prod(nk), ekcc_t, 6)
def test_ccsd_t_hf_frozen(self):
'''Tests ccsd and ccsd_t for Hartree-Fock references with frozen orbitals
using supercell vs k-point calculation.'''
n = 14
cell = make_test_cell.test_cell_n3([n] * 3)
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcscf.KRHF(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf, frozen=1)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcscf.RHF(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf, frozen=2)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc / np.prod(nk), -0.1137362020855094, 6)
self.assertAlmostEqual(ercc / np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t / np.prod(nk), -0.0006758642528821, 6)
self.assertAlmostEqual(ercc_t / np.prod(nk), ekcc_t, 6)
def test_ccsd_t_hf_frozen(self):
'''Tests ccsd and ccsd_t for Hartree-Fock references with frozen orbitals.'''
n = 14
cell = make_test_cell.test_cell_n3([n]*3)
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcscf.KRHF(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf, frozen=1)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcscf.RHF(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf, frozen=2)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc/np.prod(nk), -0.1137362020855094, 6)
self.assertAlmostEqual(ercc/np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t/np.prod(nk), -0.0006758642528821, 6)
self.assertAlmostEqual(ercc_t/np.prod(nk), ekcc_t, 6)
def test_ccsd_t_hf(self):
'''Tests ccsd and ccsd_t for Hartree-Fock references.'''
n = 14
cell = make_test_cell.test_cell_n3([n] * 3)
nk = [2, 1, 1]
kpts = cell.make_kpts(nk)
kpts -= kpts[0]
kks = pbcscf.KRHF(cell, kpts=kpts)
ekks = kks.kernel()
khf = pbcscf.KRHF(cell)
khf.__dict__.update(kks.__dict__)
mycc = pbcc.KRCCSD(khf)
eris = mycc.ao2mo()
ekcc, t1, t2 = mycc.kernel(eris=eris)
ekcc_t = mycc.ccsd_t(eris=eris)
# Run supercell
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nk)
rks = pbcscf.RHF(supcell)
erks = rks.kernel()
rhf = pbcscf.RHF(supcell)
rhf.__dict__.update(rks.__dict__)
mycc = pbcc.RCCSD(rhf)
eris = mycc.ao2mo()
ercc, t1, t2 = mycc.kernel(eris=eris)
self.assertAlmostEqual(ercc / np.prod(nk), -0.15530756381467772, 6)
self.assertAlmostEqual(ercc / np.prod(nk), ekcc, 6)
ercc_t = mycc.ccsd_t(eris=eris)
self.assertAlmostEqual(ercc_t / np.prod(nk), -0.0011112735513837887, 6)
self.assertAlmostEqual(ercc_t / np.prod(nk), ekcc_t, 6)
def test_h4_fcc_k2(self):
'''Metallic hydrogen fcc lattice. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1., 0., 0.], [0., 1., 0], [0, 0, 2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [
[0, [1.0, 1]],
]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(
np.dot(np.array(cell.atom[i][1]), np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
#mymp = pbmp.KMP2(kmf)
#ekmp2, _ = mymp.kernel()
#print("KMP2 corr energy (per unit cell) = ", ekmp2)
mycc = pbcc.KGCCSD(kmf)
ekccsd, t1, t2 = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.06146759560406628, 6)
# TODO: fill in as the eom-kgccsd completed...
#
## Getting more roots than 1 is difficult
#e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, 5.079427283440857, 6)
#e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, 4.183328878177331, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, -3.471710821544506, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, -4.272015727359054, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
##mysmp = pbmp.KMP2(mf)
##emp2, _ = mysmp.kernel()
##print("MP2 corr energy (per unit cell) = ", emp2 / np.prod(nmp))
myscc = pbcc.KGCCSD(mf)
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.06146759560406628, 6)
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1.,0.,0.],[0.,1.,0],[0,0,2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [[0, [1.0, 1]],]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
#cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(np.dot(np.array(cell.atom[i][1]),np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0,0.0,0.0])
e = kmf.kernel()
frozen = [[0, 3], []]
mycc = pbcc.KCCSD(kmf, frozen=frozen)
ekccsd, _, _ = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.04683399814247455, 6)
# Getting more roots than 1 is difficult
e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], 5.060562738181741, 6)
e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
self.assertAlmostEqual(e[0][0], 4.188511644938458, 6)
e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], -3.477663551987023, 6)
e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
self.assertAlmostEqual(e[0][0], -4.23523412155825, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
myscc = pbcc.KCCSD(mf, frozen=[0, 7])
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.04683401678904569, 6)
e = myscc.eaccsd(nroots=4, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], 4.188511680212755, 6)
self.assertAlmostEqual(e[0][1], 4.205924087610756, 6)
self.assertAlmostEqual(e[0][2], 5.060562771978923, 6)
self.assertAlmostEqual(e[0][3], 5.077249823137741, 6)
e = myscc.ipccsd(nroots=4, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], -4.261818242746091, 6)
self.assertAlmostEqual(e[0][1], -4.235233956876479, 6)
self.assertAlmostEqual(e[0][2], -3.477663568390151, 6)
self.assertAlmostEqual(e[0][3], -3.459133332687474, 6)
def setUpClass(cls):
cls.cell = cell = Cell()
# Lift some degeneracies
cell.atom = '''
C 0.000000000000 0.000000000000 0.000000000000
C 1.67 1.68 1.69
'''
cell.basis = {'C': [[0, (0.8, 1.0)],
[1, (1.0, 1.0)]]}
# cell.basis = 'gth-dzvp'
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()
k = cell.make_kpts([cls.k, 1, 1], scaled_center=cls.k_c)
# The Gamma-point reference
cls.model_rhf = model_rhf = RHF(super_cell(cell, [cls.k, 1, 1]), kpt=k[0]).density_fit()
model_rhf.conv_tol = 1e-14
model_rhf.kernel()
# K-points
cls.model_krhf = model_krhf = KRHF(cell, k).density_fit()
model_krhf.conv_tol = 1e-14
model_krhf.kernel()
adjust_mf_phase(model_rhf, model_krhf)
ke = numpy.concatenate(model_krhf.mo_energy)
ke.sort()
# Make sure mo energies are the same
testing.assert_allclose(model_rhf.mo_energy, ke)
# Make sure no degeneracies are present
testing.assert_array_less(1e-4, ke[1:] - ke[:-1])
# TD
cls.td_model_rhf = td_model_rhf = td.TDRHF(model_rhf)
td_model_rhf.kernel()
cls.td_model_krhf = td_model_krhf = ktd.TDRHF(model_krhf)
td_model_krhf.kernel()
adjust_td_phase(td_model_rhf, td_model_krhf)
# GW
cls.gw = gw.GW(td_model_rhf)
cls.kgw = kgw.GW(td_model_krhf)
cls.order_k, cls.order_p, cls.order = ov_order_supercell(cls.kgw.imds)
orbs = []
for k in range(cls.k):
for o in numpy.arange(2, 6):
orbs.append(numpy.where(numpy.logical_and(cls.order_k == k, cls.order_p == o))[0][0])
cls.gw.orbs = numpy.array(orbs)
cls.kgw.orbs = numpy.arange(2, 6)
def test_h4_fcc_k2(self):
'''Metallic hydrogen fcc lattice. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1.,0.,0.],[0.,1.,0],[0,0,2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [[0, [1.0, 1]],]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
#cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(np.dot(np.array(cell.atom[i][1]),np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0,0.0,0.0])
e = kmf.kernel()
mycc = pbcc.KCCSD(kmf)
ekccsd, _, _ = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.06146759560406628, 6)
# Getting more roots than 1 is difficult
e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], 5.079427283440857, 6)
e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
self.assertAlmostEqual(e[0][0], 4.183328878177331, 6)
e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], -3.471710821544506, 6)
e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
self.assertAlmostEqual(e[0][0], -4.272015727359054, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
myscc = pbcc.KCCSD(mf)
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.06146759560406628, 6)
e = myscc.eaccsd(nroots=4, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], 4.183328873793568, 6)
self.assertAlmostEqual(e[0][1], 4.225034294249784, 6)
self.assertAlmostEqual(e[0][2], 5.068962665511664, 6)
self.assertAlmostEqual(e[0][3], 5.07942727935064 , 6)
e = myscc.ipccsd(nroots=4, kptlist=(0,))[0]
self.assertAlmostEqual(e[0][0], -4.272015724869052, 6)
self.assertAlmostEqual(e[0][1], -4.254298274388934, 6)
self.assertAlmostEqual(e[0][2], -3.471710821688812, 6)
self.assertAlmostEqual(e[0][3], -3.462817764320668, 6)
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1., 0., 0.], [0., 1., 0], [0, 0, 2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [
[0, [1.0, 1]],
]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
#cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(
np.dot(np.array(cell.atom[i][1]), np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
frozen = [[0, 3], []]
mycc = pbcc.KCCSD(kmf, frozen=frozen)
ekccsd, _, _ = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.04683399814247455, 6)
# Getting more roots than 1 is difficult
e = mycc.eaccsd(nroots=1, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], 5.060562738181741, 6)
e = mycc.eaccsd(nroots=1, koopmans=False, kptlist=(1, ))[0]
self.assertAlmostEqual(e[0][0], 4.188511644938458, 6)
e = mycc.ipccsd(nroots=1, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], -3.477663551987023, 6)
e = mycc.ipccsd(nroots=1, koopmans=False, kptlist=(1, ))[0]
self.assertAlmostEqual(e[0][0], -4.23523412155825, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
myscc = pbcc.KCCSD(mf, frozen=[0, 7])
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.04683401678904569, 6)
e = myscc.eaccsd(nroots=4, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], 4.188511680212755, 6)
self.assertAlmostEqual(e[0][1], 4.205924087610756, 6)
self.assertAlmostEqual(e[0][2], 5.060562771978923, 6)
self.assertAlmostEqual(e[0][3], 5.077249823137741, 6)
e = myscc.ipccsd(nroots=4, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], -4.261818242746091, 6)
self.assertAlmostEqual(e[0][1], -4.235233956876479, 6)
self.assertAlmostEqual(e[0][2], -3.477663568390151, 6)
self.assertAlmostEqual(e[0][3], -3.459133332687474, 6)
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1.,0.,0.],[0.,1.,0],[0,0,2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [[0, [1.0, 1]],]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(np.dot(np.array(cell.atom[i][1]),np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0,0.0,0.0])
e = kmf.kernel()
#mymp = pbmp.KMP2(kmf)
#ekmp2, _ = mymp.kernel()
#print("KMP2 corr energy (per unit cell) = ", ekmp2)
# By not applying a level-shift, one gets a different initial CCSD answer.
# One can check however that the t1/t2 from level-shifting are a solution
# of the CCSD equations done without level-shifting.
frozen = [[0, 1, 6, 7], []]
mycc = pbcc.KGCCSD(kmf, frozen=frozen)
ekccsd, t1, t2 = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.04683399814247455, 6)
# TODO: fill in as the eom-kgccsd completed...
#
## Getting more roots than 1 is difficult
#e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, 5.060562738181741, 6)
#e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, 4.188511644938458, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, -3.477663551987023, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, -4.23523412155825, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
#mysmp = pbmp.KMP2(mf)
#emp2, _ = mysmp.kernel()
#print("MP2 corr energy (per unit cell) = ", emp2 / np.prod(nmp))
myscc = pbcc.KGCCSD(mf, frozen=[0, 1, 14, 15])
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.04683401678904569, 6)
kmf_sc = k2gamma(kmf,
abs_kpts,
kmesh,
realize=True,
tol_deg=5e-5,
real_split=False)
c_g_ao = kmf_sc.mo_coeff[0]
print "Supercell gamma MO in AO basis from conversion:"
print c_g_ao
dm_convert = 2.0 * c_g_ao[:, kmf_sc.mo_occ[0] > 0].dot(
c_g_ao[:, kmf_sc.mo_occ[0] > 0].conj().T)
# The following is to check whether the MO is correctly coverted:
sc = tools_pbc.super_cell(cell, kmesh)
#sc.verbose = 0
kmf_sc2 = pscf.KRHF(sc, [[0.0, 0.0, 0.0]]).density_fit()
gdf = df.GDF(sc, [[0.0, 0.0, 0.0]])
kmf_sc2.with_df = gdf
s = kmf_sc2.get_ovlp()[0]
print "Run supercell gamma point calculation..."
ekpt_sc = kmf_sc2.run([dm_convert])
#ekpt_sc = kmf_sc2.run()
sc_mo = kmf_sc2.mo_coeff[0]
print "Supercell gamma MO from direct calculation:"
print sc_mo
# lowdin of sc_mo and c_g_ao
for j in range(2):
dmk[0][i][j,j] = 0.5
dmk[1][i][j+nao_half, j+nao_half] = 0.5
ehf = kmf.kernel(dmk)
kcc = cc.KUCCSD(kmf)
ecc,t1,t2 = kcc.kernel()
print('========================================')
print('UHF energy (kpts) %f \n' % (float(ehf)))
print('UCCSD correlation energy (kpts) %f \n' % (float(ecc)))
print('========================================')
# Gamma point supercell calculation
supcell = super_cell(cell,nmp)
dms = np.zeros([2, supcell.nao_nr(), supcell.nao_nr()])
for i in range(nkpts):
for j in range(2):
dms[0][j+i*nao][j+i*nao] = 0.5
dms[1][j+i*nao+nao_half][j+i*nao+nao_half] = 0.5
gmf = scf.UHF(supcell,exxdiv=None).density_fit()
gmf.chkfile = 'supcell.chk'
ehf = gmf.kernel(dms)
gcc = cc.UCCSD(gmf)
ecc,t1,t2 = gcc.kernel()
print('========================================')
print('UHF energy (supercell) %f' % (float(ehf)/nk))
def plot_wf(self,
outfile='MLWF',
wf_list=None,
supercell=[1, 1, 1],
grid=[50, 50, 50]):
'''
Export Wannier function at cell R
xsf format: http://web.mit.edu/xcrysden_v1.5.60/www/XCRYSDEN/doc/XSF.html
Attributes:
wf_list : a list of MLWFs to plot
supercell : a supercell used for plotting
'''
if wf_list == None: wf_list = list(range(self.num_wann_loc))
from pyscf.pbc.tools import pbc
super_cell = pbc.super_cell(self.cell, supercell)
real_lattice_loc = super_cell.lattice_vectors() * param.BOHR
atom_symbols_loc = [atom[0] for atom in super_cell._atom]
atoms_cart_loc = np.asarray([
(np.asarray(atom[1]) * param.BOHR).tolist()
for atom in super_cell._atom
])
num_atoms_loc = super_cell.natm
nx, ny, nz = np.asarray(grid)
nX, nY, nZ = tuple((np.asarray(grid) - 1) * np.asarray(supercell) + 1)
superWF = np.empty([nX, nY, nZ])
superWF_temp = np.empty([nX, nY, nZ])
WFs = self.get_wannier(grid=grid)
for wf_id in wf_list:
assert wf_id in list(range(self.num_wann_loc))
WF = WFs[:, wf_id].reshape(nx, ny, nz).real
for x in range(supercell[0]):
for y in range(supercell[1]):
for z in range(supercell[2]):
superWF_temp[:nx, :ny,
((nz - 1) * z):((nz - 1) * z + nz)] = WF
superWF_temp[:, ((ny - 1) *
y):((ny - 1) * y +
ny), :] = superWF_temp[:, :ny, :]
superWF[((nx - 1) * x):((nx - 1) * x +
nx), :, :] = superWF_temp[:nx, :, :]
with open(outfile + '-' + str(wf_id) + '.xsf', 'w') as f:
f.write('Generated by the pyWannier90\n\n')
f.write('CRYSTAL\n')
f.write('PRIMVEC\n')
for row in range(3):
f.write('%10.7f %10.7f %10.7f\n' % (real_lattice_loc[0, row], real_lattice_loc[1, row], \
real_lattice_loc[2, row]))
f.write('PRIMVEC\n')
for row in range(3):
f.write('%10.7f %10.7f %10.7f\n' % (real_lattice_loc[0, row], real_lattice_loc[1, row], \
real_lattice_loc[2, row]))
f.write('PRIMCOORD\n')
f.write('%3d %3d\n' % (num_atoms_loc, 1))
for atom in range(len(atom_symbols_loc)):
f.write('%s %7.7f %7.7f %7.7f\n' % (atom_symbols_loc[atom], atoms_cart_loc[atom][0], \
atoms_cart_loc[atom][1], atoms_cart_loc[atom][2]))
f.write('\n\n')
f.write(
'BEGIN_BLOCK_DATAGRID_3D\n3D_field\nBEGIN_DATAGRID_3D_UNKNOWN\n'
)
f.write(' %5d %5d %5d\n' % (nX, nY, nZ))
f.write(' %10.7f %10.7f %10.7f\n' %
tuple(np.zeros(3).tolist()))
for row in range(3):
f.write(' %10.7f %10.7f %10.7f\n' % (real_lattice_loc[0, row], real_lattice_loc[1, row], \
real_lattice_loc[2, row]))
fmt = ' %13.5e' * nX + '\n'
for iz in range(nZ):
for iy in range(nY):
f.write(fmt % tuple(superWF[:, iy, iz].tolist()))
f.write('\n')
f.write('END_DATAGRID_3D\nEND_BLOCK_DATAGRID_3D')
nmp = [2, 2, 2] ase_atom = lattice.get_ase_alkali_halide(A='Li', B='F') cell = pbcgto.Cell() cell.spin = 0 cell.symmetry = 0 cell.charge = 0 cell.unit = 'B' cell.verbose = 4 cell.atom = pyscf_ase.ase_atoms_to_pyscf(ase_atom) cell.a = ase_atom.cell cell.basis = 'gth-szv' cell.pseudo = 'gth-pade' cell.build() new = super_cell(cell, nmp) cell = pbcgto.Cell() #cell.unit = 'B' cell.spin = 0 cell.symmetry = 0 cell.charge = 0 cell.verbose = 4 cell.atom = new.atom cell.a = new.a cell.basis = 'gth-szv' cell.pseudo = 'gth-pade' cell.mesh = [10, 10, 10] cell.build() mf = pbchf.RHF(cell) mf.with_df = pbcdf.AFTDF(cell)
def setUpClass(cls):
k_grid = [2, 1, 1]
# Unit cell
cls.cell = gto.Cell()
cls.cell.atom = '''
C 0.000000000000 0.000000000000 0.000000000000
C 1.685068664391 1.685068664391 1.685068664391
'''
cls.cell.basis = 'gth-szv'
cls.cell.pseudo = 'gth-pade'
cls.cell.a = '''
0.000000000, 3.370137329, 3.370137329
3.370137329, 0.000000000, 3.370137329
3.370137329, 3.370137329, 0.000000000
'''
cls.cell.unit = 'B'
cls.cell.verbose = 7
cls.cell.mesh = [24] * 3
cls.cell.build()
# MF
cls.mf = scf.KRHF(cls.cell, kpts=cls.cell.make_kpts(k_grid), exxdiv=None)
cls.mf.chkfile = 'test_kgf_proper_rhf_chk.dat'
if os.path.exists(cls.mf.chkfile):
cls.mf.update()
else:
cls.mf.kernel()
# Supercell
cls.cell2 = super_cell(cls.cell, k_grid)
cls.mf2 = scf.KRHF(cls.cell2, exxdiv=None)
cls.order = numpy.argsort(numpy.hstack(cls.mf.mo_energy))
c1 = cls.mf.mo_coeff[0]
c2 = cls.mf.mo_coeff[1]
c1, c2 = numpy.concatenate((c1, c1), axis=0) / 2.**.5, numpy.concatenate((c2, -c2), axis=0) / 2.**.5
cls.mf2.mo_coeff = [numpy.concatenate((c1, c2), axis=1)[:, cls.order]]
cls.mf2.mo_energy = [numpy.concatenate(cls.mf.mo_energy)[cls.order]]
cls.mf2.mo_occ = [numpy.concatenate(cls.mf.mo_occ)[cls.order]]
cls.mf2.make_rdm1()
# CCSD
cls.ccsd = cc.KRCCSD(cls.mf)
cls.ccsd.conv_tol_normt = 1e-8
cls.ccsd.kernel()
cls.ccsd2 = cc.KRCCSD(cls.mf2)
cls.ccsd2.conv_tol_normt = 1e-8
cls.ccsd2.kernel()
# TODO: lambda iterations
cls.ccsd.l1 = cls.ccsd.t1
cls.ccsd.l2 = cls.ccsd.t2
# cls.ccsd.ipccsd(nroots=2)
# cls.ccsd.eaccsd(nroots=2)
# cls.ip_samples = [-0.71, -1]
cls.ip_samples = [-0.71]
cls.ea_samples = [1.13, 0.3]
cls.eta = 0.01
# =====
cls.nocc, cls.nvirt = cls.ccsd.t1[0].shape
cls.nmo = cls.nocc + cls.nvirt
cls.o1 = cls.order[:2*cls.nocc] < cls.nmo
cls.o2 = cls.order[:2*cls.nocc] >= cls.nmo
cls.v1 = cls.order[2*cls.nocc:] < cls.nmo
cls.v2 = cls.order[2*cls.nocc:] >= cls.nmo
cls.a1 = cls.order < cls.nmo
cls.a2 = cls.order >= cls.nmo
# =====
cls.ccsd2.l1 = cls.ccsd2.t1
cls.ccsd2.l2 = cls.ccsd2.t2
def k2s(model,
grid_spec,
mf_constructor,
threshold=None,
degeneracy_threshold=None,
imaginary_threshold=None):
"""
Converts k-point model into a supercell with real orbitals.
Args:
model: a mean-field pbc model;
grid_spec (Iterable): integer dimensions of the k-grid in the mean-field model;
mf_constructor (Callable): a function constructing the mean-field object;
threshold (float): a threshold for determining the negative k-point index;
degeneracy_threshold (float): a threshold for assuming degeneracy when composing real-valued orbitals;
imaginary_threshold (float): a threshold for asserting real-valued supercell orbitals;
Returns:
The same class where the Cell object was replaced by the supercell and all fields were adjusted accordingly.
"""
# This hack works as follows. Provided TRS Hamiltonian
# H(k) = H(-k)*,
# with same real eigenvalues and eigenfunctions related as
# psi(k) = c psi(-k)*,
# c - arbitrary phase, it is easy to construct real (non-Bloch) eigenvectors of the whole Hamiltonian
# real1(|k|) = c* psi(k) + psi(-k) = psi(-k)* + psi(-k)
# and
# real2(|k|) = 1.j * (c* psi(k) - psi(-k)) = 1.j* (psi(-k)* - psi(-k)).
# The coefficient c is determined as
# psi(k) * psi(-k) = c psi(-k)* * psi(-k) = c
if imaginary_threshold is None:
imaginary_threshold = 1e-7
mk = minus_k(model,
threshold=threshold,
degeneracy_threshold=degeneracy_threshold)
# Fix phases
ovlp = model.get_ovlp()
phases = {}
for k1, k2 in enumerate(mk):
if k1 <= k2:
c1 = model.mo_coeff[k1]
c2 = model.mo_coeff[k2]
o = ovlp[k1]
r = reduce(numpy.dot, (c2.T, o, c1))
delta = abs(abs(r) - numpy.eye(r.shape[0])).max()
if delta > imaginary_threshold:
raise RuntimeError(
"K-points connected by time reversal {:d} and {:d} are not complex conjugate: "
"the difference {:.3e} is larger than the threshold {:.3e}"
.format(
k1,
k2,
delta,
imaginary_threshold,
))
p = numpy.angle(numpy.diag(r))
if k1 == k2:
phases[k1] = numpy.exp(-.5j * p)[numpy.newaxis, :]
else:
phases[k1] = numpy.exp(-1.j * p)[numpy.newaxis, :]
nk = len(model.kpts)
t_vecs = cartesian_prod(tuple(numpy.arange(i) for i in grid_spec))
kpts_frac = model.cell.get_scaled_kpts(model.kpts)
result = mf_constructor(super_cell(model.cell, grid_spec))
result_ovlp = result.get_ovlp()[0]
moe = numpy.concatenate(model.mo_energy)
moo = numpy.concatenate(model.mo_occ)
# Complex-valued wf in a supercell
moc = []
for mo_coeff, k in zip(model.mo_coeff, kpts_frac):
psi = (
mo_coeff[numpy.newaxis, ...] *
numpy.exp(2.j * numpy.pi * t_vecs.dot(k))[:, numpy.newaxis,
numpy.newaxis]).reshape(
-1,
mo_coeff.shape[1])
norms = einsum("ai,ab,bi->i", psi.conj(), result_ovlp, psi)**.5
psi /= norms[numpy.newaxis, :]
moc.append(psi)
moc = numpy.concatenate(moc, axis=1)
rotation_matrix = sparse.dok_matrix(moc.shape, dtype=moc.dtype)
inv_rotation_matrix = sparse.dok_matrix(moc.shape, dtype=moc.dtype)
nvecs = (0, ) + tuple(i.shape[1] for i in model.mo_coeff)
nvecs = numpy.cumsum(nvecs)
k_spaces = tuple(numpy.arange(i, j) for i, j in zip(nvecs[:-1], nvecs[1:]))
for k in range(nk):
i = k_spaces[k]
j = k_spaces[mk[k]]
if k == mk[k]:
rotation_matrix[i, i] = phases[k]
inv_rotation_matrix[i, i] = phases[k].conj()
elif k < mk[k]:
rotation_matrix[i, i] = .5**.5 * phases[k]
rotation_matrix[j, i] = .5**.5
rotation_matrix[i, j] = -1.j * .5**.5 * phases[k]
rotation_matrix[j, j] = 1.j * .5**.5
inv_rotation_matrix[i, i] = .5**.5 * phases[k].conj()
inv_rotation_matrix[j, i] = 1.j * .5**.5 * phases[k].conj()
inv_rotation_matrix[i, j] = .5**.5
inv_rotation_matrix[j, j] = -1.j * .5**.5
else:
pass
rotation_matrix = rotation_matrix.tocsc()
inv_rotation_matrix = inv_rotation_matrix.tocsc()
moc = sparse_transform(moc, 1, rotation_matrix)
max_imag = abs(moc.imag).max()
if max_imag > imaginary_threshold:
raise RuntimeError(
"Failed to compose real-valued orbitals: imaginary part is {:.3e}".
format(max_imag))
moc = moc.real
mok = numpy.concatenate(
tuple([i] * len(j) for i, j in enumerate(model.mo_energy)))
moi = numpy.concatenate(
tuple(numpy.arange(len(j)) for j in model.mo_energy))
order = numpy.argsort(moe)
moe = moe[order]
moc = moc[:, order]
moo = moo[order]
mok = mok[order]
moi = moi[order]
rotation_matrix = rotation_matrix[:, order]
inv_rotation_matrix = inv_rotation_matrix[order, :]
result.mo_occ = moo,
result.mo_energy = moe,
result.mo_coeff = moc,
result.supercell_rotation = rotation_matrix
result.supercell_inv_rotation = inv_rotation_matrix
result.supercell_orig_k = mok
result.supercell_orig_i = moi
assert_scf_converged(result, model.conv_tol**.5)
p1 = abs(
result.supercell_rotation.dot(result.supercell_inv_rotation) -
numpy.eye(rotation_matrix.shape[0])).max()
p2 = abs(
result.supercell_inv_rotation.dot(result.supercell_rotation) -
numpy.eye(rotation_matrix.shape[0])).max()
if p1 > 1e-14 or p2 > 1e-14:
raise RuntimeError("Rotation matrix error: {:.3e}, {:.3e}".format(
p1, p2))
return result
def test_h4_fcc_k2_frozen(self):
'''Metallic hydrogen fcc lattice with frozen lowest lying occupied
and highest lying virtual orbitals. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1., 0., 0.], [0., 1., 0], [0, 0, 2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [
[0, [1.0, 1]],
]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(
np.dot(np.array(cell.atom[i][1]), np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
#mymp = pbmp.KMP2(kmf)
#ekmp2, _ = mymp.kernel()
#print("KMP2 corr energy (per unit cell) = ", ekmp2)
# By not applying a level-shift, one gets a different initial CCSD answer.
# One can check however that the t1/t2 from level-shifting are a solution
# of the CCSD equations done without level-shifting.
frozen = [[0, 1, 6, 7], []]
mycc = pbcc.KGCCSD(kmf, frozen=frozen)
ekccsd, t1, t2 = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.04683399814247455, 6)
# TODO: fill in as the eom-kgccsd completed...
#
## Getting more roots than 1 is difficult
#e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, 5.060562738181741, 6)
#e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, 4.188511644938458, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, -3.477663551987023, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, -4.23523412155825, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
#mysmp = pbmp.KMP2(mf)
#emp2, _ = mysmp.kernel()
#print("MP2 corr energy (per unit cell) = ", emp2 / np.prod(nmp))
myscc = pbcc.KGCCSD(mf, frozen=[0, 1, 14, 15])
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.04683401678904569, 6)
3.370137329, 0.000000000, 3.370137329 3.370137329, 3.370137329, 0.000000000''' cell.unit = 'B' cell.verbose = 5 cell.precision = 1e-12 cell.build() cell.rcut *= 2.0 cell.build() omegas = [-10.99479191] # #Run old code # supcell = super_cell(cell, nmp) mf = scf.RHF(supcell, exxdiv=None) mf.diis = None mf.conv_tol_grad = 1e-8 mf.conv_tol = 1e-8 ehf = mf.kernel() mf.analyze() mycc = cc.RCCSD(mf) mycc.frozen = [0, 1, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15] mycc.ip_partition = None mycc.ea_partition = None mycc.conv_tol_normt = 1e-10 mycc.conv_tol = 1e-10 mycc.kernel() #p=[8,9,10,11,12,13,14,15] #q=[8,9,10,11,12,13,14,15]
def test_h4_fcc_k2(self):
'''Metallic hydrogen fcc lattice. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1., 0., 0.], [0., 1., 0], [0, 0, 2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [
[0, [1.0, 1]],
]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
#cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(
np.dot(np.array(cell.atom[i][1]), np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0, 0.0, 0.0])
e = kmf.kernel()
mycc = pbcc.KCCSD(kmf)
ekccsd, _, _ = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.06146759560406628, 6)
# Getting more roots than 1 is difficult
e = mycc.eaccsd(nroots=1, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], 5.079427283440857, 6)
e = mycc.eaccsd(nroots=1, koopmans=False, kptlist=(1, ))[0]
self.assertAlmostEqual(e[0][0], 4.183328878177331, 6)
e = mycc.ipccsd(nroots=1, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], -3.471710821544506, 6)
e = mycc.ipccsd(nroots=1, koopmans=False, kptlist=(1, ))[0]
self.assertAlmostEqual(e[0][0], -4.272015727359054, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
myscc = pbcc.KCCSD(mf)
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.06146759560406628, 6)
e = myscc.eaccsd(nroots=4, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], 4.183328873793568, 6)
self.assertAlmostEqual(e[0][1], 4.225034294249784, 6)
self.assertAlmostEqual(e[0][2], 5.068962665511664, 6)
self.assertAlmostEqual(e[0][3], 5.07942727935064, 6)
e = myscc.ipccsd(nroots=4, koopmans=False, kptlist=(0, ))[0]
self.assertAlmostEqual(e[0][0], -4.272015724869052, 6)
self.assertAlmostEqual(e[0][1], -4.254298274388934, 6)
self.assertAlmostEqual(e[0][2], -3.471710821688812, 6)
self.assertAlmostEqual(e[0][3], -3.462817764320668, 6)
def k2gamma(kmf,
abs_kpts,
kmesh,
realize=True,
real_split=False,
tol_deg=5e-5):
'''
convert the k-sampled mo coefficient to corresponding supercell gamma-point mo coefficient.
set realize = True to make sure the final wavefunction to be real.
return the supercell gamma point object
math:
C_{\nu ' n'} = C_{\vecR\mu, \veck m} = \qty[ \frac{1}{\sqrt{N_{\UC}}} \e^{\ii \veck\cdot\vecR} C^{\veck}_{\mu m}]
'''
#np.set_printoptions(4,linewidth=1000)
R_abs_mesh = get_R_vec(kmf.cell, abs_kpts, kmesh)
phase = np.exp(1j * np.einsum('Ru, ku -> Rk', R_abs_mesh, abs_kpts))
E_k = np.asarray(kmf.mo_energy)
occ_k = np.asarray(kmf.mo_occ)
C_k = np.asarray(kmf.mo_coeff)
Nk, Nao, Nmo = C_k.shape
NR = R_abs_mesh.shape[0]
C_gamma = np.einsum('Rk, kum -> Rukm', phase, C_k) / np.sqrt(NR)
C_gamma = C_gamma.reshape((NR, Nao, Nk * Nmo))
# sort energy of km
E_k_flat = E_k.flatten()
E_k_sort_idx = np.argsort(E_k_flat)
E_k_sort = E_k_flat[E_k_sort_idx]
occ_sort = occ_k.flatten()[E_k_sort_idx]
C_gamma = C_gamma[:, :, E_k_sort_idx]
C_gamma = C_gamma.reshape((NR * Nao, Nk * Nmo))
# supercell object
sc = tools_pbc.super_cell(cell, kmesh)
sc.verbose = 0
kmf_sc = pscf.KRHF(
sc, [[0.0, 0.0, 0.0]]).density_fit() # TODO spin polarize ? DF or not?
S_sc = kmf_sc.get_ovlp()[0].real
# make MO to be real
if realize:
real_tol = tol_deg # tolerance of residue of real or imag part
null_tol = min(tol_deg * 10.0,
1.0e-3) # tolerance of 0 for nat_orb selection
print "Realize the gamma point MO ..."
C_gamma_real = np.zeros_like(C_gamma, dtype=np.double)
res, res_idx = find_degenerate(E_k_sort,
C_gamma,
real_split=real_split,
tol=tol_deg)
print "Energy spectrum group:", res
print "Energy idx:", res_idx
col_idx = 0
for i, gi_idx in enumerate(res_idx):
gi = C_gamma[:, gi_idx]
# using dm to solve natural orbitals, to make the orbitals real
dm = gi.dot(gi.conj().T)
if la.norm(dm.imag) > real_tol:
print "density matrix of converted Gamma MO has large imaginary part."
sys.exit(1)
eigval, eigvec = la.eigh(dm.real, S_sc, type=2)
nat_orb = eigvec[:, eigval > null_tol]
if nat_orb.shape[1] != len(gi_idx):
print "Realization error, not find correct number of linear combination coefficient"
sys.exit(1)
for j in xrange(nat_orb.shape[1]):
C_gamma_real[:, col_idx] = nat_orb[:, j]
col_idx += 1
C_gamma = C_gamma_real
# save to kmf_sc obj
kmf_sc.mo_coeff = [C_gamma]
kmf_sc.mo_energy = [np.asarray(E_k_sort)]
kmf_sc.mo_occ = [np.asarray(occ_sort)]
return kmf_sc
def test_h4_fcc_k2(self):
'''Metallic hydrogen fcc lattice. Checks versus a corresponding
supercell calculation.
NOTE: different versions of the davidson may converge to a different
solution for the k-point IP/EA eom. If you're getting the wrong
root, check to see if it's contained in the supercell set of
eigenvalues.'''
cell = pbcgto.Cell()
cell.atom = [['H', (0.000000000, 0.000000000, 0.000000000)],
['H', (0.000000000, 0.500000000, 0.250000000)],
['H', (0.500000000, 0.500000000, 0.500000000)],
['H', (0.500000000, 0.000000000, 0.750000000)]]
cell.unit = 'Bohr'
cell.a = [[1.,0.,0.],[0.,1.,0],[0,0,2.2]]
cell.verbose = 7
cell.spin = 0
cell.charge = 0
cell.basis = [[0, [1.0, 1]],]
cell.pseudo = 'gth-pade'
cell.output = '/dev/null'
cell.max_memory = 1000
for i in range(len(cell.atom)):
cell.atom[i][1] = tuple(np.dot(np.array(cell.atom[i][1]),np.array(cell.a)))
cell.build()
nmp = [2, 1, 1]
kmf = pbcscf.KRHF(cell)
kmf.kpts = cell.make_kpts(nmp, scaled_center=[0.0,0.0,0.0])
e = kmf.kernel()
#mymp = pbmp.KMP2(kmf)
#ekmp2, _ = mymp.kernel()
#print("KMP2 corr energy (per unit cell) = ", ekmp2)
mycc = pbcc.KGCCSD(kmf)
ekccsd, t1, t2 = mycc.kernel()
self.assertAlmostEqual(ekccsd, -0.06146759560406628, 6)
# TODO: fill in as the eom-kgccsd completed...
#
## Getting more roots than 1 is difficult
#e = mycc.eaccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, 5.079427283440857, 6)
#e = mycc.eaccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, 4.183328878177331, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(0,))[0]
#self.assertAlmostEqual(e, -3.471710821544506, 6)
#e = mycc.ipccsd(nroots=1, kptlist=(1,))[0]
#self.assertAlmostEqual(e, -4.272015727359054, 6)
# Start of supercell calculations
from pyscf.pbc.tools.pbc import super_cell
supcell = super_cell(cell, nmp)
supcell.build()
mf = pbcscf.KRHF(supcell)
e = mf.kernel()
##mysmp = pbmp.KMP2(mf)
##emp2, _ = mysmp.kernel()
##print("MP2 corr energy (per unit cell) = ", emp2 / np.prod(nmp))
myscc = pbcc.KGCCSD(mf)
eccsd, _, _ = myscc.kernel()
eccsd /= np.prod(nmp)
self.assertAlmostEqual(eccsd, -0.06146759560406628, 6)