#!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
'''
Generate PBC (K)SCF response functions
'''
import numpy
from pyscf import lib
from pyscf.pbc.scf import khf, kuhf, krohf, kghf
def _gen_rhf_response(mf, mo_coeff=None, mo_occ=None,
singlet=None, hermi=0, max_memory=None):
from pyscf.pbc.dft import numint, multigrid
assert isinstance(mf, khf.KRHF)
if mo_coeff is None: mo_coeff = mf.mo_coeff
if mo_occ is None: mo_occ = mf.mo_occ
cell = mf.cell
kpts = mf.kpts
if isinstance(mf, khf.pbchf.KohnShamDFT):
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 2, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, spin=cell.spin)
hybrid = ni.libxc.is_hybrid_xc(mf.xc)
if omega != 0: # For range separated Coulomb
raise NotImplementedError
if not hybrid and isinstance(mf.with_df, multigrid.MultiGridFFTDF):
dm0 = mf.make_rdm1(mo_coeff, mo_occ)
return multigrid._gen_rhf_response(mf, dm0, singlet, hermi)
if singlet is None: # for newton solver
spin = 0
else:
spin = 1
rho0, vxc, fxc = ni.cache_xc_kernel(cell, mf.grids, mf.xc, mo_coeff,
mo_occ, spin, kpts)
dm0 = None
if max_memory is None:
mem_now = lib.current_memory()[0]
max_memory = max(2000, mf.max_memory*.8-mem_now)
if singlet is None: # Without specify singlet, general case
def vind(dm1, kshift=0):
# The singlet hessian
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
v1 = ni.nr_rks_fxc(cell, mf.grids, mf.xc, dm0, dm1, 0, hermi,
rho0, vxc, fxc, kpts, max_memory=max_memory)
if hybrid:
if hermi != 2:
vj, vk = _get_jk(mf, cell, dm1, hermi, kpts, kshift)
v1 += vj - .5 * hyb * vk
else:
v1 -= .5 * hyb * _get_k(mf, cell, dm1, hermi, kpts, kshift)
elif hermi != 2:
v1 += _get_j(mf, cell, dm1, hermi, kpts, kshift)
return v1
elif singlet:
def vind(dm1, kshift=0):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
# nr_rks_fxc_st requires alpha of dm1
v1 = numint.nr_rks_fxc_st(ni, cell, mf.grids, mf.xc, dm0, dm1, 0,
True, rho0, vxc, fxc, kpts,
max_memory=max_memory)
v1 *= .5
if hybrid:
if hermi != 2:
vj, vk = _get_jk(mf, cell, dm1, hermi, kpts, kshift)
v1 += vj - .5 * hyb * vk
else:
v1 -= .5 * hyb * _get_k(mf, cell, dm1, hermi, kpts, kshift)
elif hermi != 2:
v1 += _get_j(mf, cell, dm1, hermi, kpts, kshift)
return v1
else: # triplet
def vind(dm1, kshift=0):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
# nr_rks_fxc_st requires alpha of dm1
v1 = numint.nr_rks_fxc_st(ni, cell, mf.grids, mf.xc, dm0, dm1, 0,
False, rho0, vxc, fxc, kpts,
max_memory=max_memory)
v1 *= .5
if hybrid:
v1 += -.5 * hyb * _get_k(mf, cell, dm1, hermi, kpts, kshift)
return v1
else: # HF
if (singlet is None or singlet) and hermi != 2:
def vind(dm1, kshift=0):
vj, vk = _get_jk(mf, cell, dm1, hermi, kpts, kshift)
return vj - .5 * vk
else:
def vind(dm1, kshift=0):
return -.5 * _get_k(mf, cell, dm1, hermi, kpts, kshift)
return vind
def _gen_uhf_response(mf, mo_coeff=None, mo_occ=None,
with_j=True, hermi=0, max_memory=None):
from pyscf.pbc.dft import multigrid
assert isinstance(mf, (kuhf.KUHF, krohf.KROHF))
if mo_coeff is None: mo_coeff = mf.mo_coeff
if mo_occ is None: mo_occ = mf.mo_occ
cell = mf.cell
kpts = mf.kpts
if isinstance(mf, khf.pbchf.KohnShamDFT):
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 2, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, spin=cell.spin)
hybrid = ni.libxc.is_hybrid_xc(mf.xc)
if omega != 0: # For range separated Coulomb
raise NotImplementedError
if not hybrid and isinstance(mf.with_df, multigrid.MultiGridFFTDF):
dm0 = mf.make_rdm1(mo_coeff, mo_occ)
return multigrid._gen_uhf_response(mf, dm0, with_j, hermi)
rho0, vxc, fxc = ni.cache_xc_kernel(cell, mf.grids, mf.xc,
mo_coeff, mo_occ, 1, kpts)
dm0 = None
if max_memory is None:
mem_now = lib.current_memory()[0]
max_memory = max(2000, mf.max_memory*.8-mem_now)
def vind(dm1, kshift=0):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
v1 = ni.nr_uks_fxc(cell, mf.grids, mf.xc, dm0, dm1, 0, hermi,
rho0, vxc, fxc, kpts, max_memory=max_memory)
if not hybrid:
if with_j:
vj = _get_j(mf, cell, dm1, hermi, kpts, kshift)
v1 += vj[0] + vj[1]
else:
if with_j:
vj, vk = _get_jk(mf, cell, dm1, hermi, kpts, kshift)
v1 += vj[0] + vj[1] - vk * hyb
else:
v1 -= hyb * _get_k(mf, cell, dm1, hermi, kpts, kshift)
return v1
elif with_j:
def vind(dm1, kshift=0):
vj, vk = _get_jk(mf, cell, dm1, hermi, kpts, kshift)
v1 = vj[0] + vj[1] - vk
return v1
else:
def vind(dm1, kshift=0):
return -_get_k(mf, cell, dm1, hermi, kpts, kshift)
return vind
def _gen_ghf_response(mf, mo_coeff=None, mo_occ=None,
with_j=True, hermi=0, max_memory=None):
'''Generate a function to compute the product of KGHF response function and
KGHF density matrices.
'''
raise NotImplementedError
def _get_jk_kshift(mf, dm_kpts, hermi, kpts, kshift, with_j=True, with_k=True):
from pyscf.pbc.df.df_jk import get_j_kpts_kshift, get_k_kpts_kshift
vj = vk = None
if with_j:
vj = get_j_kpts_kshift(mf.with_df, dm_kpts, kshift, hermi=hermi, kpts=kpts)
if with_k:
vk = get_k_kpts_kshift(mf.with_df, dm_kpts, kshift, hermi=hermi, kpts=kpts,
exxdiv=mf.exxdiv)
return vj, vk
def _get_jk(mf, cell, dm1, hermi, kpts, kshift, with_j=True, with_k=True):
from pyscf.pbc import df
if kshift == 0:
return mf.get_jk(cell, dm1, hermi=hermi, kpts=kpts, with_j=with_j, with_k=with_k)
elif mf.rsjk is not None or not isinstance(mf.with_df, df.df.DF):
lib.logger.error(mf, 'Non-zero kshift is only supported by GDF/RSDF.')
raise NotImplementedError
else:
return _get_jk_kshift(mf, dm1, hermi, kpts, kshift, with_j=with_j, with_k=with_k)
def _get_j(mf, cell, dm1, hermi, kpts, kshift):
return _get_jk(mf, cell, dm1, hermi, kpts, kshift, True, False)[0]
def _get_k(mf, cell, dm1, hermi, kpts, kshift):
return _get_jk(mf, cell, dm1, hermi, kpts, kshift, False, True)[1]
khf.KRHF.gen_response = _gen_rhf_response
kuhf.KUHF.gen_response = _gen_uhf_response
kghf.KGHF.gen_response = _gen_ghf_response
krohf.KROHF.gen_response = _gen_uhf_response
from pyscf.pbc.scf import hf, uhf, rohf, ghf
def _gen_rhf_response_gam(mf, mo_coeff=None, mo_occ=None,
singlet=None, hermi=0, max_memory=None):
from pyscf.pbc.dft import numint, multigrid
assert isinstance(mf, hf.RHF)
if mo_coeff is None: mo_coeff = mf.mo_coeff
if mo_occ is None: mo_occ = mf.mo_occ
cell = mf.cell
kpt = mf.kpt
if isinstance(mf, khf.pbchf.KohnShamDFT):
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 2, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, spin=cell.spin)
hybrid = ni.libxc.is_hybrid_xc(mf.xc)
if omega != 0: # For range separated Coulomb
raise NotImplementedError
if not hybrid and isinstance(mf.with_df, multigrid.MultiGridFFTDF):
dm0 = mf.make_rdm1(mo_coeff, mo_occ)
return multigrid._gen_rhf_response(mf, dm0, singlet, hermi)
if singlet is None: # for newton solver
spin = 0
else:
spin = 1
rho0, vxc, fxc = ni.cache_xc_kernel(cell, mf.grids, mf.xc, mo_coeff,
mo_occ, spin, kpt)
dm0 = None
if max_memory is None:
mem_now = lib.current_memory()[0]
max_memory = max(2000, mf.max_memory*.8-mem_now)
if singlet is None: # Without specify singlet, general case
def vind(dm1):
# The singlet hessian
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
v1 = ni.nr_rks_fxc(cell, mf.grids, mf.xc, dm0, dm1, 0, hermi,
rho0, vxc, fxc, kpt, max_memory=max_memory)
if hybrid:
if hermi != 2:
vj, vk = mf.get_jk(cell, dm1, hermi=hermi, kpt=kpt)
v1 += vj - .5 * hyb * vk
else:
v1 -= .5 * hyb * mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
elif hermi != 2:
v1 += mf.get_j(cell, dm1, hermi=hermi, kpt=kpt)
return v1
elif singlet:
def vind(dm1):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
# nr_rks_fxc_st requires alpha of dm1
v1 = numint.nr_rks_fxc_st(ni, cell, mf.grids, mf.xc, dm0, dm1, 0,
True, rho0, vxc, fxc, kpt,
max_memory=max_memory)
v1 *= .5
if hybrid:
if hermi != 2:
vj, vk = mf.get_jk(cell, dm1, hermi=hermi, kpt=kpt)
v1 += vj - .5 * hyb * vk
else:
v1 -= .5 * hyb * mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
elif hermi != 2:
v1 += mf.get_j(cell, dm1, hermi=hermi, kpt=kpt)
return v1
else: # triplet
def vind(dm1):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
# nr_rks_fxc_st requires alpha of dm1
v1 = numint.nr_rks_fxc_st(ni, cell, mf.grids, mf.xc, dm0, dm1, 0,
False, rho0, vxc, fxc, kpt,
max_memory=max_memory)
v1 *= .5
if hybrid:
v1 += -.5 * hyb * mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
return v1
else: # HF
if (singlet is None or singlet) and hermi != 2:
def vind(dm1):
vj, vk = mf.get_jk(cell, dm1, hermi=hermi, kpt=kpt)
return vj - .5 * vk
else:
def vind(dm1):
return -.5 * mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
return vind
def _gen_uhf_response_gam(mf, mo_coeff=None, mo_occ=None,
with_j=True, hermi=0, max_memory=None):
from pyscf.pbc.dft import multigrid
assert isinstance(mf, (uhf.UHF, rohf.ROHF))
if mo_coeff is None: mo_coeff = mf.mo_coeff
if mo_occ is None: mo_occ = mf.mo_occ
cell = mf.cell
kpt = mf.kpt
if isinstance(mf, khf.pbchf.KohnShamDFT):
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 2, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, spin=cell.spin)
hybrid = ni.libxc.is_hybrid_xc(mf.xc)
if omega != 0: # For range separated Coulomb
raise NotImplementedError
if not hybrid and isinstance(mf.with_df, multigrid.MultiGridFFTDF):
dm0 = mf.make_rdm1(mo_coeff, mo_occ)
return multigrid._gen_uhf_response(mf, dm0, with_j, hermi)
rho0, vxc, fxc = ni.cache_xc_kernel(cell, mf.grids, mf.xc,
mo_coeff, mo_occ, 1, kpt)
dm0 = None
if max_memory is None:
mem_now = lib.current_memory()[0]
max_memory = max(2000, mf.max_memory*.8-mem_now)
def vind(dm1):
if hermi == 2:
v1 = numpy.zeros_like(dm1)
else:
v1 = ni.nr_uks_fxc(cell, mf.grids, mf.xc, dm0, dm1, 0, hermi,
rho0, vxc, fxc, kpt, max_memory=max_memory)
if not hybrid:
if with_j:
vj = mf.get_j(cell, dm1, hermi=hermi, kpt=kpt)
v1 += vj[0] + vj[1]
else:
if with_j:
vj, vk = mf.get_jk(cell, dm1, hermi=hermi, kpt=kpt)
v1 += vj[0] + vj[1] - vk * hyb
else:
v1 -= hyb * mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
return v1
elif with_j:
def vind(dm1):
vj, vk = mf.get_jk(cell, dm1, hermi=hermi, kpt=kpt)
v1 = vj[0] + vj[1] - vk
return v1
else:
def vind(dm1):
return -mf.get_k(cell, dm1, hermi=hermi, kpt=kpt)
return vind
def _gen_ghf_response_gam(mf, mo_coeff=None, mo_occ=None,
with_j=True, hermi=0, max_memory=None):
'''Generate a function to compute the product of KGHF response function and
KGHF density matrices.
'''
raise NotImplementedError
hf.RHF.gen_response = _gen_rhf_response_gam
uhf.UHF.gen_response = _gen_uhf_response_gam
ghf.GHF.gen_response = _gen_ghf_response_gam
rohf.ROHF.gen_response = _gen_uhf_response_gam
