def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
'''Unrestricted Hartree-Fock potential matrix of alpha and beta spins,
for the given density matrix. See :func:`scf.uhf.get_veff`.
'''
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
if isinstance(dm, numpy.ndarray) and dm.ndim == 2:
dm = numpy.array((dm*.5, dm*.5))
nset = len(dm) // 2
if (self._eri is not None or not self.direct_scf or
mol.incore_anyway or self._is_mem_enough()):
dm = numpy.array(dm, copy=False)
dm = numpy.vstack((dm[nset:], dm[:nset]-dm[nset:]))
vj, vk = self.get_jk(mol, dm, hermi)
vj = numpy.vstack((vj[:nset]+vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset]+vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset)
else:
ddm = numpy.asarray(dm) - numpy.asarray(dm_last)
ddm = numpy.vstack((ddm[nset:], # closed shell
ddm[:nset]-ddm[nset:])) # open shell
vj, vk = self.get_jk(mol, ddm, hermi)
vj = numpy.vstack((vj[:nset]+vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset]+vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset) \
+ numpy.array(vhf_last, copy=False)
return vhf
def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
if isinstance(dm, numpy.ndarray) and dm.ndim == 2:
dm = numpy.array((dm * .5, dm * .5))
nset = len(dm) // 2
if (self._eri is not None or not self.direct_scf or mol.incore_anyway
or self._is_mem_enough()):
dm = numpy.array(dm, copy=False)
dm = numpy.vstack((dm[nset:], dm[:nset] - dm[nset:]))
vj, vk = self.get_jk(mol, dm, hermi)
vj = numpy.vstack((vj[:nset] + vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset] + vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset)
else:
ddm = numpy.asarray(dm) - numpy.asarray(dm_last)
ddm = numpy.vstack((
ddm[nset:], # closed shell
ddm[:nset] - ddm[nset:])) # open shell
vj, vk = self.get_jk(mol, ddm, hermi)
vj = numpy.vstack((vj[:nset] + vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset] + vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset) \
+ numpy.array(vhf_last, copy=False)
return vhf
def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
if isinstance(dm, numpy.ndarray) and dm.ndim == 2:
dm = numpy.array((dm * .5, dm * .5))
if (self._eri is not None or not self.direct_scf or mol.incore_anyway
or self._is_mem_enough()):
vj, vk = self.get_jk(mol, dm, hermi)
vhf = uhf._makevhf(vj, vk)
else:
ddm = dm - numpy.asarray(dm_last)
vj, vk = self.get_jk(mol, ddm, hermi)
vhf = uhf._makevhf(vj, vk) + numpy.asarray(vhf_last)
return vhf
def get_veff(ks, cell=None, dm=None, dm_last=0, vhf_last=0, hermi=1,
kpts=None, kpts_band=None):
'''Coulomb + XC functional for UKS. See pyscf/pbc/dft/uks.py
:func:`get_veff` fore more details.
'''
if cell is None: cell = ks.cell
if dm is None: dm = ks.make_rdm1()
if kpts is None: kpts = ks.kpts
t0 = (time.clock(), time.time())
if ks.grids.coords is None:
ks.grids.build(with_non0tab=True)
small_rho_cutoff = ks.small_rho_cutoff
t0 = logger.timer(ks, 'setting up grids', *t0)
else:
small_rho_cutoff = 0
if hermi == 2: # because rho = 0
n, ks._exc, vx = (0,0), 0, 0
else:
n, ks._exc, vx = ks._numint.nr_uks(cell, ks.grids, ks.xc, dm, 0,
kpts, kpts_band)
logger.debug(ks, 'nelec by numeric integration = %s', n)
t0 = logger.timer(ks, 'vxc', *t0)
# ndim = 4 : dm.shape = ([alpha,beta], nkpts, nao, nao)
ground_state = (dm.ndim == 4 and dm.shape[0] == 2 and kpts_band is None)
nkpts = len(kpts)
hyb = ks._numint.hybrid_coeff(ks.xc, spin=cell.spin)
if abs(hyb) < 1e-10:
vj = ks.get_j(cell, dm, hermi, kpts, kpts_band)
vhf = lib.asarray([vj[0]+vj[1]] * 2)
else:
vj, vk = ks.get_jk(cell, dm, hermi, kpts, kpts_band)
vhf=moluhf._makevhf(vj,vk*hyb)
if ground_state:
ks._exc -= (np.einsum('Kij,Kji', dm[0], vk[0]) +
np.einsum('Kij,Kji', dm[1], vk[1])).real * .5 * hyb * (1./nkpts)
if ground_state:
ks._ecoul = np.einsum('Kij,Kji', dm[0]+dm[1], vj[0]+vj[1]).real * .5 * (1./nkpts)
nelec = cell.nelec
if (small_rho_cutoff > 1e-20 and ground_state and
abs(n[0]-nelec[0]) < 0.01*n[0] and abs(n[1]-nelec[1]) < 0.01*n[1]):
# Filter grids the first time setup grids
idx = ks._numint.large_rho_indices(cell, dm, ks.grids,
small_rho_cutoff, kpts)
logger.debug(ks, 'Drop grids %d',
ks.grids.weights.size - np.count_nonzero(idx))
ks.grids.coords = np.asarray(ks.grids.coords [idx], order='C')
ks.grids.weights = np.asarray(ks.grids.weights[idx], order='C')
ks.grids.non0tab = ks.grids.make_mask(cell, ks.grids.coords)
return vhf + vx
def get_veff(self,
cell=None,
dm_kpts=None,
dm_last=0,
vhf_last=0,
hermi=1,
kpts=None,
kpts_band=None):
vj, vk = self.get_jk(cell, dm_kpts, hermi, kpts, kpts_band)
vhf = uhf._makevhf(vj, vk)
return vhf
def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
dm = numpy.asarray(dm)
nao = dm.shape[-1]
if dm.ndim == 2:
dm = numpy.array((dm*.5, dm*.5))
if (self._eri is not None or not self.direct_scf or
mol.incore_anyway or self._is_mem_enough()):
vj, vk = self.get_jk(mol, (dm[1], dm[0]-dm[1]), hermi)
vj = numpy.asarray((vj[0]+vj[1], vj[0]))
vk = numpy.asarray((vk[0]+vk[1], vk[0]))
vhf = uhf._makevhf(vj, vk)
else:
ddm = dm - numpy.asarray(dm_last)
ddm = numpy.asarray((ddm[1], # closed shell
ddm[0]-ddm[1])) # open shell
vj, vk = self.get_jk(mol, ddm, hermi)
vj = numpy.asarray((vj[0]+vj[1], vj[0]))
vk = numpy.asarray((vk[0]+vk[1], vk[0]))
vhf = uhf._makevhf(vj, vk) + numpy.asarray(vhf_last)
return vhf
def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
dm = numpy.asarray(dm)
nao = dm.shape[-1]
if dm.ndim == 2:
dm = numpy.array((dm*.5, dm*.5))
if (self._eri is not None or not self.direct_scf or
mol.incore_anyway or self._is_mem_enough()):
vj, vk = self.get_jk(mol, (dm[1], dm[0]-dm[1]), hermi)
vj = numpy.asarray((vj[0]+vj[1], vj[0]))
vk = numpy.asarray((vk[0]+vk[1], vk[0]))
vhf = uhf._makevhf(vj, vk)
else:
ddm = dm - numpy.asarray(dm_last)
ddm = numpy.asarray((ddm[1], # closed shell
ddm[0]-ddm[1])) # open shell
vj, vk = self.get_jk(mol, ddm, hermi)
vj = numpy.asarray((vj[0]+vj[1], vj[0]))
vk = numpy.asarray((vk[0]+vk[1], vk[0]))
vhf = uhf._makevhf(vj, vk) + numpy.asarray(vhf_last)
return vhf
def get_veff(self, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
if mol is None: mol = self.mol
if dm is None: dm = self.make_rdm1()
if isinstance(dm, numpy.ndarray) and dm.ndim == 2:
dm = numpy.array((dm*.5, dm*.5))
nset = len(dm) // 2
if (self._eri is not None or not self.direct_scf or
mol.incore_anyway or self._is_mem_enough()):
dm = numpy.array(dm, copy=False)
dm = numpy.vstack((dm[nset:], dm[:nset]-dm[nset:]))
vj, vk = self.get_jk(mol, dm, hermi)
vj = numpy.vstack((vj[:nset]+vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset]+vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset)
else:
ddm = numpy.asarray(dm) - numpy.asarray(dm_last)
ddm = numpy.vstack((ddm[nset:], # closed shell
ddm[:nset]-ddm[nset:])) # open shell
vj, vk = self.get_jk(mol, ddm, hermi)
vj = numpy.vstack((vj[:nset]+vj[nset:], vj[:nset]))
vk = numpy.vstack((vk[:nset]+vk[nset:], vk[:nset]))
vhf = uhf._makevhf(vj, vk, nset) \
+ numpy.array(vhf_last, copy=False)
return vhf
def get_veff(ks, mol=None, dm=None, dm_last=0, vhf_last=0, hermi=1):
'''Coulomb + XC functional for UKS. See pyscf/dft/rks.py
:func:`get_veff` fore more details.
'''
if mol is None: mol = self.mol
if dm is None: dm = ks.make_rdm1()
t0 = (time.clock(), time.time())
if ks.grids.coords is None:
ks.grids.build(with_non0tab=True)
small_rho_cutoff = ks.small_rho_cutoff
t0 = logger.timer(ks, 'setting up grids', *t0)
else:
# Filter grids only for the first time setting up grids
small_rho_cutoff = 0
if not isinstance(dm, numpy.ndarray):
dm = numpy.asarray(dm)
if dm.ndim == 2: # RHF DM
dm = numpy.asarray((dm * .5, dm * .5))
if hermi == 2: # because rho = 0
n, ks._exc, vx = (0, 0), 0, 0
else:
n, ks._exc, vx = ks._numint.nr_uks(mol, ks.grids, ks.xc, dm)
logger.debug(ks, 'nelec by numeric integration = %s', n)
t0 = logger.timer(ks, 'vxc', *t0)
ground_state = (dm.ndim == 3 and dm.shape[0] == 2)
hyb = ks._numint.hybrid_coeff(ks.xc, spin=mol.spin)
if abs(hyb) < 1e-10:
if (ks._eri is not None or not ks.direct_scf
or not hasattr(ks, '_dm_last')
or not isinstance(vhf_last, numpy.ndarray)):
vj = ks.get_j(mol, dm, hermi)
else:
ddm = dm - numpy.asarray(ks._dm_last)
vj = ks.get_j(mol, ddm, hermi)
vj += ks._vj_last
ks._dm_last = dm
ks._vj_last = vj
vhf = vj[0] + vj[1]
vhf = numpy.asarray((vhf, vhf))
else:
if (ks._eri is not None or not ks.direct_scf
or not hasattr(ks, '_dm_last')
or not isinstance(vhf_last, numpy.ndarray)):
vj, vk = ks.get_jk(mol, dm, hermi)
else:
ddm = dm - numpy.asarray(ks._dm_last)
vj, vk = ks.get_jk(mol, ddm, hermi)
vj += ks._vj_last
vk += ks._vk_last
ks._dm_last = dm
ks._vj_last, ks._vk_last = vj, vk
vhf = uhf._makevhf(vj, vk * hyb)
if ground_state:
ks._exc -= (numpy.einsum('ij,ji', dm[0], vk[0]) +
numpy.einsum('ij,ji', dm[1], vk[1])) * .5 * hyb
if ground_state:
ks._ecoul = numpy.einsum('ij,ji', dm[0] + dm[1], vj[0] + vj[1]) * .5
nelec = mol.nelec
if (small_rho_cutoff > 1e-20 and ground_state
and abs(n[0] - nelec[0]) < 0.01 * n[0]
and abs(n[1] - nelec[1]) < 0.01 * n[1]):
idx = ks._numint.large_rho_indices(mol, dm[0] + dm[1], ks.grids,
small_rho_cutoff)
logger.debug(ks, 'Drop grids %d',
ks.grids.weights.size - numpy.count_nonzero(idx))
ks.grids.coords = numpy.asarray(ks.grids.coords[idx], order='C')
ks.grids.weights = numpy.asarray(ks.grids.weights[idx], order='C')
ks.grids.non0tab = ks.grids.make_mask(mol, ks.grids.coords)
return vhf + vx
def get_veff(self, cell=None, dm_kpts=None, dm_last=0, vhf_last=0, hermi=1, kpts=None, kpt_band=None):
vj, vk = self.get_jk(cell, dm_kpts, hermi, kpts, kpt_band)
vhf = uhf._makevhf(vj, vk)
return vhf
