def solve_mo1(sscobj, mo_energy=None, mo_coeff=None, mo_occ=None,
h1=None, s1=None, with_cphf=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(sscobj.stdout, sscobj.verbose)
if mo_energy is None: mo_energy = sscobj._scf.mo_energy
if mo_coeff is None: mo_coeff = sscobj._scf.mo_coeff
if mo_occ is None: mo_occ = sscobj._scf.mo_occ
if with_cphf is None: with_cphf = sscobj.cphf
mol = sscobj.mol
if h1 is None:
atmlst = sorted(set([j for i,j in sscobj.nuc_pair]))
h1 = numpy.asarray(make_h1_pso(mol, mo_coeff, mo_occ, atmlst))
if with_cphf:
if callable(with_cphf):
vind = with_cphf
else:
vind = gen_vind(sscobj._scf, mo_coeff, mo_occ)
mo1, mo_e1 = cphf.solve(vind, mo_energy, mo_occ, h1, None,
sscobj.max_cycle_cphf, sscobj.conv_tol,
verbose=log)
else:
e_ai = lib.direct_sum('i-a->ai', mo_energy[mo_occ>0], mo_energy[mo_occ==0])
mo1 = h1 * (1 / e_ai)
mo_e1 = None
logger.timer(sscobj, 'solving mo1 eqn', *cput1)
return mo1, mo_e1
def solve_mo1(self, mo_energy=None, mo_occ=None, h1=None, with_cphf=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None: mo_energy = self._scf.mo_energy
if mo_occ is None: mo_occ = self._scf.mo_occ
if with_cphf is None: with_cphf = self.cphf
mol = self.mol
mo_coeff = self._scf.mo_coeff
if h1 is None:
atmlst = sorted(set([j for i, j in self.nuc_pair]))
h1 = numpy.asarray(make_h1_pso(mol, mo_coeff, mo_occ, atmlst))
if with_cphf:
vind = self.gen_vind(self._scf, mo_coeff, mo_occ)
mo1, mo_e1 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
None,
self.max_cycle_cphf,
self.conv_tol,
verbose=log)
else:
e_ai = lib.direct_sum('i-a->ai', mo_energy[mo_occ > 0],
mo_energy[mo_occ == 0])
mo1 = h1 * (1 / e_ai)
mo_e1 = None
logger.timer(self, 'solving mo1 eqn', *cput1)
return mo1, mo_e1
def solve_mo1(self, mo_energy=None, mo_occ=None, h1=None, s1=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None:
mo_energy = self._scf.mo_energy
if mo_occ is None:
mo_occ = self._scf.mo_occ
mol = self.mol
if h1 is None:
mo_coeff = self._scf.mo_coeff
dm0 = self._scf.make_rdm1(mo_coeff, mo_occ)
h1 = _mat_ao2mo(self.make_h10(mol, dm0), mo_coeff, mo_occ)
if s1 is None:
s1 = _mat_ao2mo(self.make_s10(mol), mo_coeff, mo_occ)
cput1 = log.timer("first order Fock matrix", *cput1)
if self.cphf:
mo10, mo_e10 = cphf.solve(
self.get_vind, mo_energy, mo_occ, h1, s1, self.max_cycle_cphf, self.conv_tol, verbose=log
)
else:
mo10, mo_e10 = solve_mo1(mo_energy, mo_occ, h1, s1)
logger.timer(self, "solving mo1 eqn", *cput1)
return mo10, mo_e10
def response_dm1(cc, t1, t2, l1, l2, eris=None, IX=None):
from pyscf.scf import cphf
if eris is None:
# Note eris are in Chemist's notation
eris = ccsd._ERIS(cc)
if IX is None:
Ioo, Ivv, Ivo, Xvo = IX_intermediates(cc, t1, t2, l1, l2, eris)
else:
Ioo, Ivv, Ivo, Xvo = IX
nocc, nvir = t1.shape
nmo = nocc + nvir
def fvind(x):
x = x.reshape(Xvo.shape)
if eris is None:
mo_coeff = cc.mo_coeff
dm = reduce(numpy.dot, (mo_coeff[:,nocc:], x, mo_coeff[:,:nocc].T))
v = reduce(numpy.dot, (mo_coeff[:,nocc:].T, cc._scf.get_veff(mol, dm),
mo_coeff[:,:nocc]))
else:
v = numpy.einsum('iajb,bj->ai', eris.ovov, x) * 4
v -= numpy.einsum('jiab,bj->ai', eris.oovv, x)
v -= numpy.einsum('ibja,bj->ai', eris.ovov, x)
return v
mo_energy = eris.fock.diagonal()
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo,nmo))
dm1[nocc:,:nocc] = dvo
dm1[:nocc,nocc:] = dvo.T
return dm1
def response_dm1(cc, t1, t2, l1, l2, eris=None, IX=None):
from pyscf.scf import cphf
if eris is None:
# Note eris are in Chemist's notation
eris = ccsd._ERIS(cc)
if IX is None:
Ioo, Ivv, Ivo, Xvo = IX_intermediates(cc, t1, t2, l1, l2, eris)
else:
Ioo, Ivv, Ivo, Xvo = IX
nocc, nvir = t1.shape
nmo = nocc + nvir
def fvind(x):
x = x.reshape(Xvo.shape)
if eris is None:
mo_coeff = cc.mo_coeff
dm = reduce(numpy.dot, (mo_coeff[:,nocc:], x, mo_coeff[:,:nocc].T))
v = reduce(numpy.dot, (mo_coeff[:,nocc:].T, cc._scf.get_veff(mol, dm),
mo_coeff[:,:nocc]))
else:
v = numpy.einsum('iajb,bj->ai', eris.ovov, x) * 4
v -= numpy.einsum('jiab,bj->ai', eris.oovv, x)
v -= numpy.einsum('ibja,bj->ai', eris.ovov, x)
return v
mo_energy = eris.fock.diagonal()
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo,nmo))
dm1[nocc:,:nocc] = dvo
dm1[:nocc,nocc:] = dvo.T
return dm1
def _response_dm1(mycc, Xvo, eris=None):
nvir, nocc = Xvo.shape
nmo = nocc + nvir
with_frozen = not (mycc.frozen is None or mycc.frozen is 0)
if eris is None or with_frozen:
mo_energy = mycc._scf.mo_energy
mo_occ = mycc.mo_occ
mo_coeff = mycc.mo_coeff
def fvind(x):
x = x.reshape(Xvo.shape)
dm = reduce(numpy.dot, (mo_coeff[:,nocc:], x, mo_coeff[:,:nocc].T))
v = mycc._scf.get_veff(mycc.mol, dm + dm.T)
v = reduce(numpy.dot, (mo_coeff[:,nocc:].T, v, mo_coeff[:,:nocc]))
return v * 2
else:
mo_energy = eris.mo_energy
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
ovvo = numpy.empty((nocc,nvir,nvir,nocc))
for i in range(nocc):
ovvo[i] = eris.ovvo[i]
ovvo[i] = ovvo[i] * 4 - ovvo[i].transpose(1,0,2)
ovvo[i]-= eris.oovv[i].transpose(2,1,0)
def fvind(x):
return numpy.einsum('iabj,bj->ai', ovvo, x.reshape(Xvo.shape))
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo,nmo))
dm1[nocc:,:nocc] = dvo
dm1[:nocc,nocc:] = dvo.T
return dm1
def h_op(x):
x = x.reshape(natm,3)
hx = numpy.einsum('abxy,ax->by', de2, x)
h1ao = 0
s1ao = 0
for ia in range(natm):
shl0, shl1, p0, p1 = aoslices[ia]
h1ao_i = lib.chkfile.load(hobj.chkfile, 'scf_f1ao/%d' % ia)
h1ao += numpy.einsum('x,xij->ij', x[ia], h1ao_i)
s1ao_i = numpy.zeros((3,nao,nao))
s1ao_i[:,p0:p1] += s1a[:,p0:p1]
s1ao_i[:,:,p0:p1] += s1a[:,p0:p1].transpose(0,2,1)
s1ao += numpy.einsum('x,xij->ij', x[ia], s1ao_i)
s1vo = reduce(numpy.dot, (mo_coeff.T, s1ao, mocc))
h1vo = reduce(numpy.dot, (mo_coeff.T, h1ao, mocc))
mo1, mo_e1 = cphf.solve(fvind, mo_energy, mo_occ, h1vo, s1vo)
mo1 = numpy.dot(mo_coeff, mo1)
mo_e1 = mo_e1.reshape(nocc,nocc)
dm1 = numpy.einsum('pi,qi->pq', mo1, mocc)
dme1 = numpy.einsum('pi,qi,i->pq', mo1, mocc, mo_energy[mo_occ>0])
dme1 = dme1 + dme1.T + reduce(numpy.dot, (mocc, mo_e1.T, mocc.T))
for ja in range(natm):
q0, q1 = aoslices[ja][2:]
h1ao = lib.chkfile.load(hobj.chkfile, 'scf_f1ao/%s'%ja)
hx[ja] += numpy.einsum('xpq,pq->x', h1ao, dm1) * 4
hx[ja] -= numpy.einsum('xpq,pq->x', s1a[:,q0:q1], dme1[q0:q1]) * 2
hx[ja] -= numpy.einsum('xpq,qp->x', s1a[:,q0:q1], dme1[:,q0:q1]) * 2
return hx.ravel()
def h_op(x):
x = x.reshape(natm,3)
hx = numpy.einsum('abxy,ax->by', de2, x)
h1ao = 0
s1ao = 0
for ia in range(natm):
shl0, shl1, p0, p1 = aoslices[ia]
h1ao_i = lib.chkfile.load(hobj.chkfile, 'scf_f1ao/%d' % ia)
h1ao += numpy.einsum('x,xij->ij', x[ia], h1ao_i)
s1ao_i = numpy.zeros((3,nao,nao))
s1ao_i[:,p0:p1] += s1a[:,p0:p1]
s1ao_i[:,:,p0:p1] += s1a[:,p0:p1].transpose(0,2,1)
s1ao += numpy.einsum('x,xij->ij', x[ia], s1ao_i)
s1vo = reduce(numpy.dot, (mo_coeff.T, s1ao, mocc))
h1vo = reduce(numpy.dot, (mo_coeff.T, h1ao, mocc))
mo1, mo_e1 = cphf.solve(fvind, mo_energy, mo_occ, h1vo, s1vo)
mo1 = numpy.dot(mo_coeff, mo1)
mo_e1 = mo_e1.reshape(nocc,nocc)
dm1 = numpy.einsum('pi,qi->pq', mo1, mocc)
dme1 = numpy.einsum('pi,qi,i->pq', mo1, mocc, mo_energy[mo_occ>0])
dme1 = dme1 + dme1.T + reduce(numpy.dot, (mocc, mo_e1, mocc.T))
for ja in range(natm):
q0, q1 = aoslices[ja][2:]
h1ao = lib.chkfile.load(hobj.chkfile, 'scf_f1ao/%s'%ja)
hx[ja] += numpy.einsum('xpq,pq->x', h1ao, dm1) * 4
hx[ja] -= numpy.einsum('xpq,pq->x', s1a[:,q0:q1], dme1[q0:q1]) * 2
hx[ja] -= numpy.einsum('xpq,qp->x', s1a[:,q0:q1], dme1[:,q0:q1]) * 2
return hx.ravel()
def solve_cphf_rhf(mf, Lvo, max_cycle, tol, logger):
'''
Solve the CPHF equations.
(e[i] - e[a]) zvo[a, i] - sum_bj [ 4 (ai|bj) - (ab|ij) - (aj|ib) ] zvo[b, j] = Lvo[a, i]
Args:
mf : an RHF object
Lvo : right-hand side the the response equation
max_cycle : number of iterations for the CPHF solver
tol : convergence tolerance for the CPHF solver
logger : Logger object
'''
logger.info('Solving the CPHF response equations')
logger.info('Max. iterations: {0:d}'.format(max_cycle))
logger.info('Convergence tolerance: {0:.3g}'.format(tol))
# Currently we need to make the CPHF solver somewhat more talkative to see anything at all.
cphf_verbose = logger.verbose
if logger.verbose == lib.logger.INFO:
cphf_verbose = lib.logger.DEBUG
def fvind(z):
return fock_response_rhf(mf, z.reshape(Lvo.shape), full=False)
zvo = cphf.solve(fvind, mf.mo_energy, mf.mo_occ, Lvo,
max_cycle=max_cycle, tol=tol, verbose=cphf_verbose)[0]
logger.info('CPHF iterations finished')
return zvo
def _get_Z(self):
so, sv, sa = self.so, self.sv, self.sa
Ax0_Core = self.Ax0_Core
e, mo_occ = self.e, self.mo_occ
F_0_mo = self.nc_deriv.F_0_mo
Z = cphf.solve(Ax0_Core(sv, so, sv, so), e, mo_occ, F_0_mo[sv, so], max_cycle=100, tol=1e-15)[0]
return Z
def _response_dm1(mycc, Xvo, eris=None):
nvir, nocc = Xvo.shape
nmo = nocc + nvir
with_frozen = not (mycc.frozen is None or mycc.frozen is 0)
if eris is None or with_frozen:
mo_energy = mycc._scf.mo_energy
mo_occ = mycc.mo_occ
mo_coeff = mycc.mo_coeff
def fvind(x):
x = x.reshape(Xvo.shape)
dm = reduce(numpy.dot,
(mo_coeff[:, nocc:], x, mo_coeff[:, :nocc].T))
v = mycc._scf.get_veff(mycc.mol, dm + dm.T)
v = reduce(numpy.dot,
(mo_coeff[:, nocc:].T, v, mo_coeff[:, :nocc]))
return v * 2
else:
mo_energy = eris.fock.diagonal()
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
ovvo = numpy.empty((nocc, nvir, nvir, nocc))
for i in range(nocc):
ovvo[i] = eris.ovvo[i]
ovvo[i] = ovvo[i] * 4 - ovvo[i].transpose(1, 0, 2)
ovvo[i] -= eris.oovv[i].transpose(2, 1, 0)
def fvind(x):
return numpy.einsum('iabj,bj->ai', ovvo, x.reshape(Xvo.shape))
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo, nmo))
dm1[nocc:, :nocc] = dvo
dm1[:nocc, nocc:] = dvo.T
return dm1
def solve_mo1(self, mo_energy=None, mo_occ=None, h1=None, s1=None,
with_cphf=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None: mo_energy = self._scf.mo_energy
if mo_occ is None: mo_occ = self._scf.mo_occ
if with_cphf is None: with_cphf = self.cphf
mol = self.mol
mo_coeff = self._scf.mo_coeff
orbo = mo_coeff[:,mo_occ>0]
if h1 is None:
dm0 = self._scf.make_rdm1(mo_coeff, mo_occ)
h1 = numpy.asarray([reduce(numpy.dot, (mo_coeff.T.conj(), x, orbo))
for x in self.make_h10(mol, dm0)])
if s1 is None:
s1 = numpy.asarray([reduce(numpy.dot, (mo_coeff.T.conj(), x, orbo))
for x in self.make_s10(mol)])
cput1 = log.timer('first order Fock matrix', *cput1)
if with_cphf:
vind = self.gen_vind(self._scf)
mo10, mo_e10 = cphf.solve(vind, mo_energy, mo_occ, h1, s1,
self.max_cycle_cphf, self.conv_tol,
verbose=log)
else:
mo10, mo_e10 = solve_mo1(mo_energy, mo_occ, h1, s1)
logger.timer(self, 'solving mo1 eqn', *cput1)
return mo10, mo_e10
def solve_mo1(self, mo_energy=None, mo_occ=None, h1=None, s1=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None: mo_energy = self._scf.mo_energy
if mo_occ is None: mo_occ = self._scf.mo_occ
mol = self.mol
if h1 is None:
mo_coeff = self._scf.mo_coeff
dm0 = self._scf.make_rdm1(mo_coeff, mo_occ)
h1 = _mat_ao2mo(self.make_h10(mol, dm0), mo_coeff, mo_occ)
if s1 is None:
s1 = _mat_ao2mo(self.make_s10(mol), mo_coeff, mo_occ)
cput1 = log.timer('first order Fock matrix', *cput1)
if self.cphf:
mo10, mo_e10 = cphf.solve(self.get_vind,
mo_energy,
mo_occ,
h1,
s1,
self.max_cycle_cphf,
self.conv_tol,
verbose=log)
else:
mo10, mo_e10 = solve_mo1(mo_energy, mo_occ, h1, s1)
logger.timer(self, 'solving mo1 eqn', *cput1)
return mo10, mo_e10
def solve_mo1(mf, mo_energy, mo_coeff, mo_occ, h1ao_or_chkfile,
fx=None, atmlst=None, max_memory=4000, verbose=None):
mol = mf.mol
if atmlst is None: atmlst = range(mol.natm)
nao, nmo = mo_coeff.shape
mocc = mo_coeff[:,mo_occ>0]
nocc = mocc.shape[1]
if fx is None:
fx = gen_vind(mf, mo_coeff, mo_occ)
s1a = -mol.intor('int1e_ipovlp', comp=3)
def _ao2mo(mat):
return numpy.asarray([reduce(numpy.dot, (mo_coeff.T, x, mocc)) for x in mat])
mem_now = lib.current_memory()[0]
max_memory = max(2000, max_memory*.9-mem_now)
blksize = max(2, int(max_memory*1e6/8 / (nmo*nocc*3*6)))
mo1s = [None] * mol.natm
e1s = [None] * mol.natm
aoslices = mol.aoslice_by_atom()
for ia0, ia1 in lib.prange(0, len(atmlst), blksize):
s1vo = []
h1vo = []
for i0 in range(ia0, ia1):
ia = atmlst[i0]
shl0, shl1, p0, p1 = aoslices[ia]
s1ao = numpy.zeros((3,nao,nao))
s1ao[:,p0:p1] += s1a[:,p0:p1]
s1ao[:,:,p0:p1] += s1a[:,p0:p1].transpose(0,2,1)
s1vo.append(_ao2mo(s1ao))
if isinstance(h1ao_or_chkfile, str):
key = 'scf_f1ao/%d' % ia
h1ao = lib.chkfile.load(h1ao_or_chkfile, key)
else:
h1ao = h1ao_or_chkfile[ia]
h1vo.append(_ao2mo(h1ao))
h1vo = numpy.vstack(h1vo)
s1vo = numpy.vstack(s1vo)
mo1, e1 = cphf.solve(fx, mo_energy, mo_occ, h1vo, s1vo)
mo1 = numpy.einsum('pq,xqi->xpi', mo_coeff, mo1).reshape(-1,3,nao,nocc)
e1 = e1.reshape(-1,3,nocc,nocc)
for k in range(ia1-ia0):
ia = atmlst[k+ia0]
if isinstance(h1ao_or_chkfile, str):
key = 'scf_mo1/%d' % ia
lib.chkfile.save(h1ao_or_chkfile, key, mo1[k])
else:
mo1s[ia] = mo1[k]
e1s[ia] = e1[k].reshape(3,nocc,nocc)
mo1 = e1 = None
if isinstance(h1ao_or_chkfile, str):
return h1ao_or_chkfile, e1s
else:
return mo1s, e1s
def solve_mo1(self, mo_energy=None, mo_occ=None, h1=None, with_cphf=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None: mo_energy = self._scf.mo_energy
if mo_occ is None: mo_occ = self._scf.mo_occ
if with_cphf is None: with_cphf = self.cphf
mol = self.mol
mo_coeff = self._scf.mo_coeff
if self.mb.upper().startswith('ST'): # Sternheim approximation
nmo = mo_occ.size
mo_energy = mo_energy[nmo // 2:]
mo_coeff = mo_coeff[:, nmo // 2:]
mo_occ = mo_occ[nmo // 2:]
if h1 is None:
atmlst = sorted(set([j for i, j in self.nuc_pair]))
h1 = numpy.asarray(make_h1(mol, mo_coeff, mo_occ, atmlst))
if with_cphf:
vind = self.gen_vind(self._scf, mo_coeff, mo_occ)
mo1, mo_e1 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
None,
self.max_cycle_cphf,
self.conv_tol,
verbose=log)
else:
e_ai = lib.direct_sum('i-a->ai', mo_energy[mo_occ > 0],
mo_energy[mo_occ == 0])
mo1 = h1 / e_ai
mo_e1 = None
# Calculate RMB with approximation
# |MO1> = Z_RMB |i> + |p> bar{C}_{pi}^1 ~= |p> C_{pi}^1
# bar{C}_{pi}^1 ~= C_{pi}^1 - <p|Z_RMB|i>
if self.mb.upper() == 'RMB':
orbo = mo_coeff[:, mo_occ > 0]
orbv = mo_coeff[:, mo_occ == 0]
n4c = mo_coeff.shape[0]
n2c = n4c // 2
c = lib.param.LIGHT_SPEED
orbvS_T = orbv[n2c:].conj().T
for ia in atmlst:
mol.set_rinv_origin(mol.atom_coord(ia))
a01int = mol.intor('int1e_sa01sp_spinor', 3)
for k in range(3):
s1 = orbvS_T.dot(a01int[k].conj().T).dot(orbo[n2c:])
mo1[ia * 3 + k] -= s1 * (.25 / c**2)
logger.timer(self, 'solving mo1 eqn', *cput1)
return mo1, mo_e1
def solve_mo1(nmrobj,
mo_energy=None,
mo_coeff=None,
mo_occ=None,
h1=None,
s1=None,
with_cphf=None):
'''Solve the first order equation
Kwargs:
with_cphf : boolean or function(dm_mo) => v1_mo
If a boolean value is given, the value determines whether CPHF
equation will be solved or not. The induced potential will be
generated by the function gen_vind.
If a function is given, CPHF equation will be solved, and the
given function is used to compute induced potential
'''
if mo_energy is None: mo_energy = nmrobj._scf.mo_energy
if mo_coeff is None: mo_coeff = nmrobj._scf.mo_coeff
if mo_occ is None: mo_occ = nmrobj._scf.mo_occ
if with_cphf is None: with_cphf = nmrobj.cphf
cput1 = (time.clock(), time.time())
log = logger.Logger(nmrobj.stdout, nmrobj.verbose)
mol = nmrobj.mol
orbo = mo_coeff[:, mo_occ > 0]
if h1 is None:
dm0 = nmrobj._scf.make_rdm1(mo_coeff, mo_occ)
h1 = lib.einsum('xpq,pi,qj->xij', nmrobj.get_fock(dm0),
mo_coeff.conj(), orbo)
cput1 = log.timer('first order Fock matrix', *cput1)
if s1 is None:
s1 = lib.einsum('xpq,pi,qj->xij', nmrobj.get_ovlp(mol),
mo_coeff.conj(), orbo)
if with_cphf:
if callable(with_cphf):
vind = with_cphf
else:
vind = gen_vind(nmrobj._scf, mo_coeff, mo_occ)
mo10, mo_e10 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
s1,
nmrobj.max_cycle_cphf,
nmrobj.conv_tol,
verbose=log)
else:
mo10, mo_e10 = _solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)
log.timer('solving mo1 eqn', *cput1)
return mo10, mo_e10
def _get_U_1(self):
B_1 = self.B_1
S_1_mo = self.S_1_mo
if S_1_mo is 0:
S_1_mo = np.zeros_like(B_1)
Ax0_Core = self.Ax0_Core
sv = self.sv
so = self.so
# Generate v-o block of U
U_1_ai = cphf.solve(self.Ax0_Core(sv, so, sv, so),
self.e,
self.scf_eng.mo_occ,
B_1[:, sv, so],
max_cycle=100,
tol=1e-13,
hermi=False)[0]
U_1_ai.shape = (B_1.shape[0], self.nvir, self.nocc)
# Test whether converged
conv = (+U_1_ai * lib.direct_sum("a - i", self.ev, self.eo) +
self.Ax0_Core(sv, so, sv, so)(U_1_ai) + self.B_1[:, sv, so])
if abs(conv).max() > 1e-8:
msg = "\nget_E_1: CP-HF not converged well!\nMaximum deviation: " + str(
abs(conv).max())
warnings.warn(msg)
if self.rotation:
# Generate rotated U
U_1_pq = -0.5 * S_1_mo
U_1_pq[:, sv, so] = U_1_ai
U_1_pq[:, so,
sv] = -S_1_mo[:, so, sv] - U_1_pq[:, sv, so].swapaxes(
-1, -2)
else:
# Generate total U
D_pq = -lib.direct_sum("p - q -> pq", self.e, self.e) + 1e-300
U_1_pq = np.zeros((B_1.shape[0], self.nmo, self.nmo))
U_1_pq[:, sv, so] = U_1_ai
U_1_pq[:, so,
sv] = -S_1_mo[:, so, sv] - U_1_pq[:, sv, so].swapaxes(
-1, -2)
U_1_pq[:, so, so] = (Ax0_Core(so, so, sv, so)(U_1_ai) +
B_1[:, so, so]) / D_pq[so, so]
U_1_pq[:, sv, sv] = (Ax0_Core(sv, sv, sv, so)(U_1_ai) +
B_1[:, sv, sv]) / D_pq[sv, sv]
for p in range(self.nmo):
U_1_pq[:, p, p] = -S_1_mo[:, p, p] / 2
U_1_pq -= (U_1_pq + U_1_pq.swapaxes(-1, -2) + S_1_mo) / 2
U_1_pq -= (U_1_pq + U_1_pq.swapaxes(-1, -2) + S_1_mo) / 2
self._U_1 = U_1_pq
return self._U_1
def Z(self):
so, sv = self.so, self.sv
Ax0_Core = self.Ax0_Core
e, mo_occ = self.e, self.mo_occ
F_0_mo = self.nc_deriv.F_0_mo
Z = cphf.solve(Ax0_Core(sv, so, sv, so, in_cphf=True),
e,
mo_occ,
F_0_mo[sv, so],
max_cycle=100,
tol=self.cphf_tol)[0]
return Z
def U_1(self):
B_1 = self.B_1
S_1_mo = self.S_1_mo
if not isinstance(S_1_mo, np.ndarray):
S_1_mo = np.zeros_like(B_1)
Ax0_Core = self.Ax0_Core
sv = self.sv
so = self.so
# Generate v-o block of U
U_1_ai = cphf.solve(self.Ax0_Core(sv, so, sv, so, in_cphf=True),
self.e,
self.scf_eng.mo_occ,
B_1[:, sv, so],
max_cycle=100,
tol=self.cphf_tol,
hermi=False)[0]
U_1_ai.shape = (B_1.shape[0], self.nvir, self.nocc)
# Test whether converged
conv = (+U_1_ai * (self.ev[:, None] - self.eo[None, :]) +
self.Ax0_Core(sv, so, sv, so)(U_1_ai) + self.B_1[:, sv, so])
if abs(conv).max() > 1e-8:
msg = "\nget_E_1: CP-HF not converged well!\nMaximum deviation: " + str(
abs(conv).max())
warnings.warn(msg)
if self.rotation:
# Generate rotated U
U_1_pq = -0.5 * S_1_mo
U_1_pq[:, sv, so] = U_1_ai
U_1_pq[:, so,
sv] = -S_1_mo[:, so, sv] - U_1_pq[:, sv, so].swapaxes(
-1, -2)
else:
# Generate total U
D_pq = -(self.e[:, None] - self.e[None, :]) + 1e-300
U_1_pq = np.zeros((B_1.shape[0], self.nmo, self.nmo))
U_1_pq[:, sv, so] = U_1_ai
U_1_pq[:, so,
sv] = -S_1_mo[:, so, sv] - U_1_pq[:, sv, so].swapaxes(
-1, -2)
U_1_pq[:, so, so] = (Ax0_Core(so, so, sv, so)(U_1_ai) +
B_1[:, so, so]) / D_pq[so, so]
U_1_pq[:, sv, sv] = (Ax0_Core(sv, sv, sv, so)(U_1_ai) +
B_1[:, sv, sv]) / D_pq[sv, sv]
for p in range(self.nmo):
U_1_pq[:, p, p] = -S_1_mo[:, p, p] / 2
U_1_pq -= (U_1_pq + U_1_pq.swapaxes(-1, -2) + S_1_mo) / 2
U_1_pq -= (U_1_pq + U_1_pq.swapaxes(-1, -2) + S_1_mo) / 2
return U_1_pq
def _get_U_2(self):
B_2 = self.B_2
Xi_2 = self.Xi_2
Ax0_Core = self.A.Ax0_Core
sv, so = self.sv, self.so
nvir, nocc = self.nvir, self.nocc
# Generate v-o block of U
U_2_ai = cphf.solve(
Ax0_Core(sv, so, sv, so, in_cphf=True),
self.e,
self.A.scf_eng.mo_occ,
B_2[:, :, sv, so].reshape(-1, nvir, nocc),
max_cycle=100,
tol=self.A.cphf_tol,
hermi=False
)[0]
U_2_ai.shape = (B_2.shape[0], B_2.shape[1], self.nvir, self.nocc)
# Test whether converged
conv = (
+ U_2_ai * (self.ev[:, None] - self.eo[None, :])
+ Ax0_Core(sv, so, sv, so)(U_2_ai)
+ self.B_2[:, :, sv, so]
)
if abs(conv).max() > 1e-8:
msg = "\nget_U_2: CP-HF not converged well!\nMaximum deviation: " + str(abs(conv).max())
warnings.warn(msg)
if self.rotation:
# Generate rotated U
U_2_pq = - 0.5 * Xi_2
U_2_pq[:, :, sv, so] = U_2_ai
U_2_pq[:, :, so, sv] = - Xi_2[:, :, so, sv] - U_2_pq[:, :, sv, so].swapaxes(-1, -2)
else:
# Generate total U
D_pq = - (self.e[:, None] - self.e[None, :]) + 1e-300
U_2_pq = np.zeros((B_2.shape[0], B_2.shape[1], self.nmo, self.nmo))
U_2_pq[:, :, sv, so] = U_2_ai
U_2_pq[:, :, so, sv] = - Xi_2[:, :, so, sv] - U_2_pq[:, :, sv, so].swapaxes(-1, -2)
U_2_pq[:, :, so, so] = (Ax0_Core(so, so, sv, so)(U_2_ai) + B_2[:, :, so, so]) / D_pq[so, so]
U_2_pq[:, :, sv, sv] = (Ax0_Core(sv, sv, sv, so)(U_2_ai) + B_2[:, :, sv, sv]) / D_pq[sv, sv]
for p in range(self.nmo):
U_2_pq[:, :, p, p] = - Xi_2[:, :, p, p] / 2
U_2_pq -= (U_2_pq + U_2_pq.swapaxes(-1, -2) + Xi_2) / 2
U_2_pq -= (U_2_pq + U_2_pq.swapaxes(-1, -2) + Xi_2) / 2
self._U_2 = U_2_pq
return self._U_2
def response_dm1(mycc, t1, t2, l1, l2, eris=None, IX=None, max_memory=2000):
if eris is None:
# Note eris are in Chemist's notation
eris = ccsd._ERIS(mycc)
if IX is None:
Ioo, Ivv, Ivo, Xvo = IX_intermediates(mycc,
t1,
t2,
l1,
l2,
eris,
max_memory=2000)
else:
Ioo, Ivv, Ivo, Xvo = IX
nocc, nvir = t1.shape
nmo = nocc + nvir
max_memory = max_memory - lib.current_memory()[0]
blksize = max(ccsd.BLKMIN, int(max_memory * 1e6 / 8 / (nocc * nvir**2)))
def fvind(x):
x = x.reshape(Xvo.shape)
if eris is None:
mo_coeff = mycc.mo_coeff
dm = reduce(numpy.dot,
(mo_coeff[:, nocc:], x, mo_coeff[:, :nocc].T))
dm = (dm + dm.T) * 2
v = reduce(numpy.dot,
(mo_coeff[:, nocc:].T, mycc._scf.get_veff(
mol, dm), mo_coeff[:, :nocc]))
else:
v = numpy.zeros((nocc, nvir))
for p0, p1 in prange(0, nocc, blksize):
eris_ovov = _cp(eris.ovov[p0:p1])
v[p0:p1] += numpy.einsum('iajb,bj->ia', eris_ovov, x) * 4
v[p0:p1] -= numpy.einsum('ibja,bj->ia', eris_ovov, x)
eris_ovov = None
v[p0:p1] -= numpy.einsum('ijba,bj->ia', _cp(eris.oovv[p0:p1]),
x[:, p0:p1])
return v.T
mo_energy = eris.fock.diagonal()
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo, nmo))
dm1[nocc:, :nocc] = dvo
dm1[:nocc, nocc:] = dvo.T
return dm1
def hyper_polarizability(polobj, with_cphf=True):
from pyscf.prop.nmr import rhf as rhf_nmr
log = logger.new_logger(polobj)
mf = polobj._scf
mol = mf.mol
mo_energy = mf.mo_energy
mo_coeff = mf.mo_coeff
mo_occ = mf.mo_occ
occidx = mo_occ > 0
orbo = mo_coeff[:, occidx]
orbv = mo_coeff[:, ~occidx]
charges = mol.atom_charges()
coords = mol.atom_coords()
charge_center = numpy.einsum('i,ix->x', charges, coords) / charges.sum()
with mol.with_common_orig(charge_center):
int_r = mol.intor_symmetric('int1e_r', comp=3)
h1 = lib.einsum('xpq,pi,qj->xij', int_r, mo_coeff.conj(), orbo)
s1 = numpy.zeros_like(h1)
vind = polobj.gen_vind(mf, mo_coeff, mo_occ)
if with_cphf:
mo1, e1 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
s1,
polobj.max_cycle_cphf,
polobj.conv_tol,
verbose=log)
else:
mo1, e1 = rhf_nmr._solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)
mo1 = lib.einsum('xqi,pq->xpi', mo1, mo_coeff)
dm1 = lib.einsum('xpi,qi->xpq', mo1, orbo) * 2
dm1 = dm1 + dm1.transpose(0, 2, 1)
vresp = mf.gen_response(hermi=1)
h1ao = int_r + vresp(dm1)
# *2 for double occupancy
e3 = lib.einsum('xpq,ypi,zqi->xyz', h1ao, mo1, mo1) * 2
e3 -= lib.einsum('pq,xpi,yqj,zij->xyz', mf.get_ovlp(), mo1, mo1, e1) * 2
e3 = (e3 + e3.transpose(1, 2, 0) + e3.transpose(2, 0, 1) +
e3.transpose(0, 2, 1) + e3.transpose(1, 0, 2) +
e3.transpose(2, 1, 0))
e3 = -e3
log.debug('Static hyper polarizability tensor\n%s', e3)
return e3
def _response_dm1(mp, Xvo):
nvir, nocc = Xvo.shape
nmo = nocc + nvir
mo_energy = mp._scf.mo_energy
mo_occ = mp.mo_occ
mo_coeff = mp.mo_coeff
def fvind(x):
x = x.reshape(Xvo.shape)
dm = reduce(numpy.dot, (mo_coeff[:,nocc:], x, mo_coeff[:,:nocc].T))
v = mp._scf.get_veff(mp.mol, dm + dm.T)
v = reduce(numpy.dot, (mo_coeff[:,nocc:].T, v, mo_coeff[:,:nocc]))
return v * 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo,nmo))
dm1[nocc:,:nocc] = dvo
dm1[:nocc,nocc:] = dvo.T
return dm1
def _response_dm1(mp, Xvo):
nvir, nocc = Xvo.shape
nmo = nocc + nvir
with_frozen = not (mp.frozen is None or mp.frozen is 0)
mo_energy = mp._scf.mo_energy
mo_occ = mp.mo_occ
mo_coeff = mp.mo_coeff
def fvind(x):
x = x.reshape(Xvo.shape)
dm = reduce(numpy.dot, (mo_coeff[:,nocc:], x, mo_coeff[:,:nocc].T))
v = mp._scf.get_veff(mp.mol, dm + dm.T)
v = reduce(numpy.dot, (mo_coeff[:,nocc:].T, v, mo_coeff[:,:nocc]))
return v * 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo,nmo))
dm1[nocc:,:nocc] = dvo
dm1[:nocc,nocc:] = dvo.T
return dm1
def solve_mo1(nmrobj, mo_energy=None, mo_coeff=None, mo_occ=None,
h1=None, s1=None, with_cphf=None):
'''Solve the first order equation
Kwargs:
with_cphf : boolean or function(dm_mo) => v1_mo
If a boolean value is given, the value determines whether CPHF
equation will be solved or not. The induced potential will be
generated by the function gen_vind.
If a function is given, CPHF equation will be solved, and the
given function is used to compute induced potential
'''
if mo_energy is None: mo_energy = nmrobj._scf.mo_energy
if mo_coeff is None: mo_coeff = nmrobj._scf.mo_coeff
if mo_occ is None: mo_occ = nmrobj._scf.mo_occ
if with_cphf is None: with_cphf = nmrobj.cphf
cput1 = (time.clock(), time.time())
log = logger.Logger(nmrobj.stdout, nmrobj.verbose)
mol = nmrobj.mol
orbo = mo_coeff[:,mo_occ>0]
if h1 is None:
dm0 = nmrobj._scf.make_rdm1(mo_coeff, mo_occ)
h1 = lib.einsum('xpq,pi,qj->xij', nmrobj.get_fock(dm0),
mo_coeff.conj(), orbo)
cput1 = log.timer('first order Fock matrix', *cput1)
if s1 is None:
s1 = lib.einsum('xpq,pi,qj->xij', nmrobj.get_ovlp(mol),
mo_coeff.conj(), orbo)
if with_cphf:
if callable(with_cphf):
vind = with_cphf
else:
vind = gen_vind(nmrobj._scf, mo_coeff, mo_occ)
mo10, mo_e10 = cphf.solve(vind, mo_energy, mo_occ, h1, s1,
nmrobj.max_cycle_cphf, nmrobj.conv_tol,
verbose=log)
else:
mo10, mo_e10 = _solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)
log.timer('solving mo1 eqn', *cput1)
return mo10, mo_e10
def polarizability(polobj, with_cphf=True):
from pyscf.prop.nmr import rhf as rhf_nmr
log = logger.new_logger(polobj)
mf = polobj._scf
mol = mf.mol
mo_energy = mf.mo_energy
mo_coeff = mf.mo_coeff
mo_occ = mf.mo_occ
occidx = mo_occ > 0
orbo = mo_coeff[:, occidx]
orbv = mo_coeff[:, ~occidx]
charges = mol.atom_charges()
coords = mol.atom_coords()
charge_center = numpy.einsum('i,ix->x', charges, coords) / charges.sum()
with mol.with_common_orig(charge_center):
int_r = mol.intor_symmetric('int1e_r', comp=3)
h1 = lib.einsum('xpq,pi,qj->xij', int_r, mo_coeff.conj(), orbo)
s1 = numpy.zeros_like(h1)
vind = polobj.gen_vind(mf, mo_coeff, mo_occ)
if with_cphf:
mo1 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
s1,
polobj.max_cycle_cphf,
polobj.conv_tol,
verbose=log)[0]
else:
mo1 = rhf_nmr._solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)[0]
e2 = numpy.einsum('xpi,ypi->xy', h1, mo1)
# *-1 from the definition of dipole moment. *2 for double occupancy
e2 = (e2 + e2.T) * -2
if mf.verbose >= logger.INFO:
xx, yy, zz = e2.diagonal()
log.note('Isotropic polarizability %.12g', (xx + yy + zz) / 3)
log.note('Polarizability anisotropy %.12g',
(.5 * ((xx - yy)**2 + (yy - zz)**2 + (zz - xx)**2))**.5)
log.debug('Static polarizability tensor\n%s', e2)
return e2
def D_r(self):
L = self.L
D_r = np.copy(self.D_r_oovv)
so, sv = self.so, self.sv
Ax0_Core = self.Ax0_Core
e, mo_occ = self.e, self.mo_occ
D_r[sv, so] = cphf.solve(Ax0_Core(sv, so, sv, so, in_cphf=True),
e,
mo_occ,
L,
max_cycle=100,
tol=self.cphf_tol)[0]
conv = (+D_r[sv, so] * (self.ev[:, None] - self.eo[None, :]) +
Ax0_Core(sv, so, sv, so)(D_r[sv, so]) + L)
if abs(conv).max() > 1e-8:
msg = "\nget_E_1: CP-HF not converged well!\nMaximum deviation: " + str(
abs(conv).max())
warnings.warn(msg)
return D_r
def response_dm1(mycc, t1, t2, l1, l2, eris=None, IX=None):
if eris is None:
# Note eris are in Chemist's notation
eris = ccsd._ERIS(mycc)
if IX is None:
Ioo, Ivv, Ivo, Xvo = IX_intermediates(mycc, t1, t2, l1, l2, eris)
else:
Ioo, Ivv, Ivo, Xvo = IX
nocc, nvir = t1.shape
nmo = nocc + nvir
max_memory = mycc.max_memory - lib.current_memory()[0]
blksize = max(ccsd.BLKMIN, int(max_memory * 1e6 / 8 / (nocc * nvir**2)))
def fvind(x):
x = x.reshape(Xvo.shape)
if eris is None:
mo_coeff = mycc.mo_coeff
dm = reduce(numpy.dot,
(mo_coeff[:, nocc:], x, mo_coeff[:, :nocc].T))
dm = (dm + dm.T) * 2
v = reduce(numpy.dot,
(mo_coeff[:, nocc:].T, mycc._scf.get_veff(mol, dm),
mo_coeff[:, :nocc]))
else:
v = numpy.zeros((nocc, nvir))
for p0, p1 in prange(0, nocc, blksize):
eris_ovov = _cp(eris.ovov[p0:p1])
v[p0:p1] += numpy.einsum('iajb,bj->ia', eris_ovov, x) * 4
v[p0:p1] -= numpy.einsum('ibja,bj->ia', eris_ovov, x)
eris_ovov = None
v[p0:p1] -= numpy.einsum('ijba,bj->ia', _cp(eris.oovv[p0:p1]),
x[:, p0:p1])
return v.T
mo_energy = eris.fock.diagonal()
mo_occ = numpy.zeros_like(mo_energy)
mo_occ[:nocc] = 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo, nmo))
dm1[nocc:, :nocc] = dvo
dm1[:nocc, nocc:] = dvo.T
return dm1
def _get_D_r(self):
L = self.L
D_r = self._D_r
so, sv, sa = self.so, self.sv, self.sa
Ax0_Core = self.Ax0_Core
e, mo_occ = self.e, self.mo_occ
D_r[sv, so] = cphf.solve(Ax0_Core(sv, so, sv, so),
e,
mo_occ,
L,
max_cycle=100,
tol=1e-15)[0]
conv = (+D_r[sv, so] * (self.ev[:, None] - self.eo[None, :]) +
Ax0_Core(sv, so, sv, so)(D_r[sv, so]) + L)
if abs(conv).max() > 1e-8:
msg = "\nget_E_1: CP-HF not converged well!\nMaximum deviation: " + str(
abs(conv).max())
warnings.warn(msg)
return D_r
def hyper_polarizability(polobj, with_cphf=True):
from pyscf.prop.nmr import rhf as rhf_nmr
log = logger.new_logger(polobj)
mf = polobj._scf
mol = mf.mol
mo_energy = mf.mo_energy
mo_coeff = mf.mo_coeff
mo_occ = mf.mo_occ
occidx = mo_occ > 0
orbo = mo_coeff[:, occidx]
orbv = mo_coeff[:,~occidx]
charges = mol.atom_charges()
coords = mol.atom_coords()
charge_center = numpy.einsum('i,ix->x', charges, coords) / charges.sum()
with mol.with_common_orig(charge_center):
int_r = mol.intor_symmetric('int1e_r', comp=3)
h1 = lib.einsum('xpq,pi,qj->xij', int_r, mo_coeff.conj(), orbo)
s1 = numpy.zeros_like(h1)
vind = polobj.gen_vind(mf, mo_coeff, mo_occ)
if with_cphf:
mo1, e1 = cphf.solve(vind, mo_energy, mo_occ, h1, s1,
polobj.max_cycle_cphf, polobj.conv_tol, verbose=log)
else:
mo1, e1 = rhf_nmr._solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)
mo1 = lib.einsum('xqi,pq->xpi', mo1, mo_coeff)
dm1 = lib.einsum('xpi,qi->xpq', mo1, orbo) * 2
dm1 = dm1 + dm1.transpose(0,2,1)
vresp = _gen_rhf_response(mf, hermi=1)
h1ao = int_r + vresp(dm1)
# *2 for double occupancy
e3 = lib.einsum('xpq,ypi,zqi->xyz', h1ao, mo1, mo1) * 2
e3 -= lib.einsum('pq,xpi,yqj,zij->xyz', mf.get_ovlp(), mo1, mo1, e1) * 2
e3 = (e3 + e3.transpose(1,2,0) + e3.transpose(2,0,1) +
e3.transpose(0,2,1) + e3.transpose(1,0,2) + e3.transpose(2,1,0))
e3 = -e3
log.debug('Static hyper polarizability tensor\n%s', e3)
return e3
def solve_mo1(sscobj,
mo_energy=None,
mo_coeff=None,
mo_occ=None,
h1=None,
s1=None,
with_cphf=None):
cput1 = (logger.process_clock(), logger.perf_counter())
log = logger.Logger(sscobj.stdout, sscobj.verbose)
if mo_energy is None: mo_energy = sscobj._scf.mo_energy
if mo_coeff is None: mo_coeff = sscobj._scf.mo_coeff
if mo_occ is None: mo_occ = sscobj._scf.mo_occ
if with_cphf is None: with_cphf = sscobj.cphf
mol = sscobj.mol
if h1 is None:
atmlst = sorted(set([j for i, j in sscobj.nuc_pair]))
h1 = numpy.asarray(make_h1_pso(mol, mo_coeff, mo_occ, atmlst))
if with_cphf:
if callable(with_cphf):
vind = with_cphf
else:
vind = gen_vind(sscobj._scf, mo_coeff, mo_occ)
mo1, mo_e1 = cphf.solve(vind,
mo_energy,
mo_occ,
h1,
None,
sscobj.max_cycle_cphf,
sscobj.conv_tol,
verbose=log)
else:
e_ai = lib.direct_sum('i-a->ai', mo_energy[mo_occ > 0],
mo_energy[mo_occ == 0])
mo1 = h1 * (1 / e_ai)
mo_e1 = None
logger.timer(sscobj, 'solving mo1 eqn', *cput1)
return mo1, mo_e1
def polarizability(polobj, with_cphf=True):
from pyscf.prop.nmr import rhf as rhf_nmr
log = logger.new_logger(polobj)
mf = polobj._scf
mol = mf.mol
mo_energy = mf.mo_energy
mo_coeff = mf.mo_coeff
mo_occ = mf.mo_occ
occidx = mo_occ > 0
orbo = mo_coeff[:, occidx]
orbv = mo_coeff[:,~occidx]
charges = mol.atom_charges()
coords = mol.atom_coords()
charge_center = numpy.einsum('i,ix->x', charges, coords) / charges.sum()
with mol.with_common_orig(charge_center):
int_r = mol.intor_symmetric('int1e_r', comp=3)
h1 = lib.einsum('xpq,pi,qj->xij', int_r, mo_coeff.conj(), orbo)
s1 = numpy.zeros_like(h1)
vind = polobj.gen_vind(mf, mo_coeff, mo_occ)
if with_cphf:
mo1 = cphf.solve(vind, mo_energy, mo_occ, h1, s1,
polobj.max_cycle_cphf, polobj.conv_tol,
verbose=log)[0]
else:
mo1 = rhf_nmr._solve_mo1_uncoupled(mo_energy, mo_occ, h1, s1)[0]
e2 = numpy.einsum('xpi,ypi->xy', h1, mo1)
# *-1 from the definition of dipole moment. *2 for double occupancy
e2 = (e2 + e2.T) * -2
if mf.verbose >= logger.INFO:
xx, yy, zz = e2.diagonal()
log.note('Isotropic polarizability %.12g', (xx+yy+zz)/3)
log.note('Polarizability anisotropy %.12g',
(.5 * ((xx-yy)**2 + (yy-zz)**2 + (zz-xx)**2))**.5)
log.debug('Static polarizability tensor\n%s', e2)
return e2
def _response_dm1(mp, Xvo):
nvir, nocc = Xvo.shape
nmo = nocc + nvir
with_frozen = not ((mp.frozen is None) or
(isinstance(mp.frozen,
(int, numpy.integer)) and mp.frozen == 0) or
(len(mp.frozen) == 0))
mo_energy = mp._scf.mo_energy
mo_occ = mp.mo_occ
mo_coeff = mp.mo_coeff
def fvind(x):
x = x.reshape(Xvo.shape)
dm = reduce(numpy.dot, (mo_coeff[:, nocc:], x, mo_coeff[:, :nocc].T))
v = mp._scf.get_veff(mp.mol, dm + dm.T)
v = reduce(numpy.dot, (mo_coeff[:, nocc:].T, v, mo_coeff[:, :nocc]))
return v * 2
dvo = cphf.solve(fvind, mo_energy, mo_occ, Xvo, max_cycle=30)[0]
dm1 = numpy.zeros((nmo, nmo))
dm1[nocc:, :nocc] = dvo
dm1[:nocc, nocc:] = dvo.T
return dm1
def solve_mo1(self, mo_energy=None, mo_occ=None, nuc_pair=None,
with_cphf=None):
cput1 = (time.clock(), time.time())
log = logger.Logger(self.stdout, self.verbose)
if mo_energy is None: mo_energy = self._scf.mo_energy
if mo_occ is None: mo_occ = self._scf.mo_occ
if nuc_pair is None: nuc_pair = self.nuc_pair
if with_cphf is None: with_cphf = self.cphf
atmlst = sorted(set([j for i,j in nuc_pair]))
mol = self.mol
h1 = numpy.asarray(make_h1_mo(mol, self._scf.mo_coeff, mo_occ, atmlst))
if with_cphf:
vind = self.gen_vind(self._scf)
mo1, mo_e1 = cphf.solve(vind, mo_energy, mo_occ, h1, None,
self.max_cycle_cphf, self.conv_tol,
verbose=log)
else:
e_ai = -1 / (mo_energy[mo_occ==0] - mo_energy[mo_oc>0])
mo1 = h1 * e_ai
mo_e1 = None
logger.timer(self, 'solving mo1 eqn', *cput1)
return mo1, mo_e1
def grad_elec(td_grad,
x_y,
singlet=True,
atmlst=None,
max_memory=2000,
verbose=logger.INFO):
'''
Electronic part of TDA, TDDFT nuclear gradients
Args:
td_grad : grad.tdrhf.Gradients or grad.tdrks.Gradients object.
x_y : a two-element list of numpy arrays
TDDFT X and Y amplitudes. If Y is set to 0, this function computes
TDA energy gradients.
'''
log = logger.new_logger(td_grad, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x + y).reshape(nocc, nvir).T
xmy = (x - y).reshape(nocc, nvir).T
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum(
'ai,bi->ab', xmy, xmy)
doo = -numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum(
'ai,aj->ij', xmy, xmy)
dmxpy = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmxmy = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo += reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory * .9 - mem_now)
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 3, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, mol.spin)
# dm0 = mf.make_rdm1(mo_coeff, mo_occ), but it is not used when computing
# fxc since rho0 is passed to fxc function.
dm0 = None
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol,
mf.grids,
mf.xc, [mo_coeff] * 2,
[mo_occ * .5] * 2,
spin=1)
f1vo, f1oo, vxc1, k1ao = \
_contract_xc_kernel(td_grad, mf.xc, dmxpy,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
dm = (dmzoo, dmxpy + dmxpy.T, dmxmy - dmxmy.T)
vj, vk = mf.get_jk(mol, dm, hermi=0)
vk *= hyb
if abs(omega) > 1e-10:
vk += mf.get_k(mol, dm, hermi=0, omega=omega) * (alpha - hyb)
veff0doo = vj[0] * 2 - vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1] + f1vo[0] * 2
else:
veff = -vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:, nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmxpy + dmxpy.T), hermi=1)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo, nmo))
# set singlet=None, generate function for CPHF type response kernel
vresp = mf.gen_response(singlet=None, hermi=1)
def fvind(x):
dm = reduce(numpy.dot, (orbv, x.reshape(nvir, nocc) * 2, orbo.T))
v1ao = vresp(dm + dm.T)
return reduce(numpy.dot, (orbv.T, v1ao, orbo)).ravel()
z1 = cphf.solve(fvind,
mo_energy,
mo_occ,
wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir, nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
veff = vresp(z1ao + z1ao.T)
im0 = numpy.zeros((nmo, nmo))
im0[:nocc, :nocc] = reduce(numpy.dot, (orbo.T, veff0doo + veff, orbo))
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mop[nocc:, :nocc], xpy)
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:, :nocc], xpy)
im0[nocc:, nocc:] += numpy.einsum('ci,ai->ac', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, :nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc],
xpy) * 2
im0[nocc:, :nocc] += numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc],
xmy) * 2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo, nmo))
dm1[:nocc, :nocc] = doo
dm1[nocc:, nocc:] = dvv
dm1[nocc:, :nocc] = z1
dm1[:nocc, :nocc] += numpy.eye(nocc) * 2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0 + zeta * dm1, mo_coeff.T))
# Initialize hcore_deriv with the underlying SCF object because some
# extensions (e.g. QM/MM, solvent) modifies the SCF object only.
mf_grad = td_grad.base._scf.nuc_grad_method()
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
dm = (oo0, dmz1doo + dmz1doo.T, dmxpy + dmxpy.T, dmxmy - dmxmy.T)
vj, vk = td_grad.get_jk(mol, dm)
vk *= hyb
if abs(omega) > 1e-10:
with mol.with_range_coulomb(omega):
vk += td_grad.get_k(mol, dm) * (alpha - hyb)
vj = vj.reshape(-1, 3, nao, nao)
vk = vk.reshape(-1, 3, nao, nao)
if singlet:
veff1 = vj * 2 - vk
else:
veff1 = numpy.vstack((vj[:2] * 2 - vk[:2], -vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo + dmz1doo.T, dmxpy + dmxpy.T))
vj = vj.reshape(-1, 3, nao, nao)
veff1 = numpy.zeros((4, 3, nao, nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
fxcz1 = _contract_xc_kernel(td_grad, mf.xc, z1ao, None, False, False, True,
max_memory)[0]
veff1[0] += vxc1[1:]
veff1[1] += (f1oo[1:] + fxcz1[1:] +
k1ao[1:] * 2) * 2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:, p0:p1] += veff1[0, :, p0:p1]
h1ao[:, :, p0:p1] += veff1[0, :, p0:p1].transpose(0, 2, 1)
# oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:, p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:, p0:p1], im0[:, p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1, :, p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2, :, p0:p1],
dmxpy[p0:p1, :]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3, :, p0:p1],
dmxmy[p0:p1, :]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2, :, p0:p1], dmxpy[:,
p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3, :, p0:p1], dmxmy[:,
p0:p1]) * 2
de[k] = e1
log.timer('TDDFT nuclear gradients', *time0)
return de
def kernel(tdgrad, z, atmlst=None, mf_grad=None, max_memory=2000,
verbose=logger.INFO):
mol = tdgrad.mol
mf = tdgrad._td._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
#eai = pyscf.lib.direct_sum('a-i->ai', mo_energy[nocc:], mo_energy[:nocc])
z = z.reshape(nvir,nocc)
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
def fvind(x):
dm = numpy.einsum('pi,xij,qj->xpq', orbv, x, orbo)
v_ao = mf.get_veff(mol, (dm+dm.transpose(0,2,1)))*2
return numpy.einsum('pi,xpq,qj->xij', orbv, v_ao, orbo).reshape(3,-1)
h1 = rhf_grad.get_hcore(mol)
s1 = rhf_grad.get_ovlp(mol)
eri1 = -mol.intor('cint2e_ip1_sph', aosym='s1', comp=3)
eri1 = eri1.reshape(3,nao,nao,nao,nao)
from pyscf import ao2mo
eri0 = ao2mo.kernel(mol, mo_coeff)
eri0 = ao2mo.restore(1, eri0, nmo).reshape(nmo,nmo,nmo,nmo)
g = eri0 * 2 - eri0.transpose(0,3,2,1)
zeta = pyscf.lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
mol.set_rinv_origin(mol.atom_coord(ia))
h1ao = -mol.atom_charge(ia) * mol.intor('cint1e_iprinv_sph', comp=3)
h1ao[:,p0:p1] += h1[:,p0:p1]
h1ao = h1ao + h1ao.transpose(0,2,1)
h1mo = numpy.einsum('pi,xpq,qj->xij', mo_coeff, h1ao, mo_coeff)
s1mo = numpy.einsum('pi,xpq,qj->xij', mo_coeff[p0:p1], s1[:,p0:p1], mo_coeff)
s1mo = s1mo + s1mo.transpose(0,2,1)
f1 = h1mo - numpy.einsum('xpq,pq->xpq', s1mo, zeta)
f1-= numpy.einsum('klpq,xlk->xpq', g[:nocc,:nocc], s1mo[:,:nocc,:nocc])
eri1a = eri1.copy()
eri1a[:,:p0] = 0
eri1a[:,p1:] = 0
eri1a = eri1a + eri1a.transpose(0,2,1,3,4)
eri1a = eri1a + eri1a.transpose(0,3,4,1,2)
g1 = numpy.einsum('xpjkl,pi->xijkl', eri1a, mo_coeff)
g1 = numpy.einsum('xipkl,pj->xijkl', g1, mo_coeff)
g1 = numpy.einsum('xijpl,pk->xijkl', g1, mo_coeff)
g1 = numpy.einsum('xijkp,pl->xijkl', g1, mo_coeff)
g1 = g1 * 2 - g1.transpose(0,1,4,3,2)
f1 += numpy.einsum('xkkpq->xpq', g1[:,:nocc,:nocc])
f1ai = f1[:,nocc:,:nocc].copy()
c1 = s1mo * -.5
c1vo = cphf.solve(fvind, mo_energy, mo_occ, f1ai, max_cycle=50)[0]
c1[:,nocc:,:nocc] = c1vo
c1[:,:nocc,nocc:] = -(s1mo[:,nocc:,:nocc]+c1vo).transpose(0,2,1)
f1 += numpy.einsum('kapq,xak->xpq', g[:nocc,nocc:], c1vo)
f1 += numpy.einsum('akpq,xak->xpq', g[nocc:,:nocc], c1vo)
e1 = numpy.einsum('xaijb,ai,bj->x', g1[:,nocc:,:nocc,:nocc,nocc:], z, z)
e1 += numpy.einsum('xab,ai,bi->x', f1[:,nocc:,nocc:], z, z)
e1 -= numpy.einsum('xij,ai,aj->x', f1[:,:nocc,:nocc], z, z)
g1 = numpy.einsum('pjkl,xpi->xijkl', g, c1)
g1 += numpy.einsum('ipkl,xpj->xijkl', g, c1)
g1 += numpy.einsum('ijpl,xpk->xijkl', g, c1)
g1 += numpy.einsum('ijkp,xpl->xijkl', g, c1)
e1 += numpy.einsum('xaijb,ai,bj->x', g1[:,nocc:,:nocc,:nocc,nocc:], z, z)
de[k] = e1
return de
def solve_mo1(mf, mo_energy, mo_coeff, mo_occ, h1ao_or_chkfile,
fx=None, atmlst=None, max_memory=4000, verbose=None):
'''Solve the first order equation
Kwargs:
fx : function(dm_mo) => v1_mo
A function to generate the induced potential.
See also the function gen_vind.
'''
mol = mf.mol
if atmlst is None: atmlst = range(mol.natm)
nao, nmo = mo_coeff.shape
mocc = mo_coeff[:,mo_occ>0]
nocc = mocc.shape[1]
if fx is None:
fx = gen_vind(mf, mo_coeff, mo_occ)
s1a = -mol.intor('int1e_ipovlp', comp=3)
def _ao2mo(mat):
return numpy.asarray([reduce(numpy.dot, (mo_coeff.T, x, mocc)) for x in mat])
mem_now = lib.current_memory()[0]
max_memory = max(2000, max_memory*.9-mem_now)
blksize = max(2, int(max_memory*1e6/8 / (nmo*nocc*3*6)))
mo1s = [None] * mol.natm
e1s = [None] * mol.natm
aoslices = mol.aoslice_by_atom()
for ia0, ia1 in lib.prange(0, len(atmlst), blksize):
s1vo = []
h1vo = []
for i0 in range(ia0, ia1):
ia = atmlst[i0]
shl0, shl1, p0, p1 = aoslices[ia]
s1ao = numpy.zeros((3,nao,nao))
s1ao[:,p0:p1] += s1a[:,p0:p1]
s1ao[:,:,p0:p1] += s1a[:,p0:p1].transpose(0,2,1)
s1vo.append(_ao2mo(s1ao))
if isinstance(h1ao_or_chkfile, str):
key = 'scf_f1ao/%d' % ia
h1ao = lib.chkfile.load(h1ao_or_chkfile, key)
else:
h1ao = h1ao_or_chkfile[ia]
h1vo.append(_ao2mo(h1ao))
h1vo = numpy.vstack(h1vo)
s1vo = numpy.vstack(s1vo)
mo1, e1 = cphf.solve(fx, mo_energy, mo_occ, h1vo, s1vo)
mo1 = numpy.einsum('pq,xqi->xpi', mo_coeff, mo1).reshape(-1,3,nao,nocc)
e1 = e1.reshape(-1,3,nocc,nocc)
for k in range(ia1-ia0):
ia = atmlst[k+ia0]
if isinstance(h1ao_or_chkfile, str):
key = 'scf_mo1/%d' % ia
lib.chkfile.save(h1ao_or_chkfile, key, mo1[k])
else:
mo1s[ia] = mo1[k]
e1s[ia] = e1[k].reshape(3,nocc,nocc)
mo1 = e1 = None
if isinstance(h1ao_or_chkfile, str):
return h1ao_or_chkfile, e1s
else:
return mo1s, e1s
def kernel(mc,
mo_coeff=None,
ci=None,
atmlst=None,
mf_grad=None,
verbose=None):
if mo_coeff is None: mo_coeff = mc._scf.mo_coeff
if ci is None: ci = mc.ci
if mf_grad is None: mf_grad = mc._scf.nuc_grad_method()
assert (isinstance(ci, numpy.ndarray))
mol = mc.mol
ncore = mc.ncore
ncas = mc.ncas
nocc = ncore + ncas
nelecas = mc.nelecas
nao, nmo = mo_coeff.shape
nao_pair = nao * (nao + 1) // 2
mo_energy = mc._scf.mo_energy
mo_occ = mo_coeff[:, :nocc]
mo_core = mo_coeff[:, :ncore]
mo_cas = mo_coeff[:, ncore:nocc]
neleca, nelecb = mol.nelec
assert (neleca == nelecb)
orbo = mo_coeff[:, :neleca]
orbv = mo_coeff[:, neleca:]
casdm1, casdm2 = mc.fcisolver.make_rdm12(ci, ncas, nelecas)
dm_core = numpy.dot(mo_core, mo_core.T) * 2
dm_cas = reduce(numpy.dot, (mo_cas, casdm1, mo_cas.T))
aapa = ao2mo.kernel(mol, (mo_cas, mo_cas, mo_coeff, mo_cas), compact=False)
aapa = aapa.reshape(ncas, ncas, nmo, ncas)
vj, vk = mc._scf.get_jk(mol, (dm_core, dm_cas))
h1 = mc.get_hcore()
vhf_c = vj[0] - vk[0] * .5
vhf_a = vj[1] - vk[1] * .5
# Imat = h1_{pi} gamma1_{iq} + h2_{pijk} gamma_{iqkj}
Imat = numpy.zeros((nmo, nmo))
Imat[:, :nocc] = reduce(numpy.dot,
(mo_coeff.T, h1 + vhf_c + vhf_a, mo_occ)) * 2
Imat[:, ncore:nocc] = reduce(numpy.dot,
(mo_coeff.T, h1 + vhf_c, mo_cas, casdm1))
Imat[:, ncore:nocc] += lib.einsum('uviw,vuwt->it', aapa, casdm2)
aapa = vj = vk = vhf_c = vhf_a = h1 = None
ee = mo_energy[:, None] - mo_energy
zvec = numpy.zeros_like(Imat)
zvec[:ncore,
ncore:neleca] = Imat[:ncore, ncore:neleca] / -ee[:ncore, ncore:neleca]
zvec[ncore:neleca, :ncore] = Imat[
ncore:neleca, :ncore] / -ee[ncore:neleca, :ncore]
zvec[nocc:,
neleca:nocc] = Imat[nocc:, neleca:nocc] / -ee[nocc:, neleca:nocc]
zvec[neleca:nocc,
nocc:] = Imat[neleca:nocc, nocc:] / -ee[neleca:nocc, nocc:]
zvec_ao = reduce(numpy.dot, (mo_coeff, zvec + zvec.T, mo_coeff.T))
vhf = mc._scf.get_veff(mol, zvec_ao) * 2
xvo = reduce(numpy.dot, (orbv.T, vhf, orbo))
xvo += Imat[neleca:, :neleca] - Imat[:neleca, neleca:].T
def fvind(x):
x = x.reshape(xvo.shape)
dm = reduce(numpy.dot, (orbv, x, orbo.T))
v = mc._scf.get_veff(mol, dm + dm.T)
v = reduce(numpy.dot, (orbv.T, v, orbo))
return v * 2
dm1resp = cphf.solve(fvind, mo_energy, mc._scf.mo_occ, xvo,
max_cycle=30)[0]
zvec[neleca:, :neleca] = dm1resp
zeta = numpy.einsum('ij,j->ij', zvec, mo_energy)
zeta = reduce(numpy.dot, (mo_coeff, zeta, mo_coeff.T))
zvec_ao = reduce(numpy.dot, (mo_coeff, zvec + zvec.T, mo_coeff.T))
p1 = numpy.dot(mo_coeff[:, :neleca], mo_coeff[:, :neleca].T)
vhf_s1occ = reduce(numpy.dot, (p1, mc._scf.get_veff(mol, zvec_ao), p1))
Imat[:ncore, ncore:neleca] = 0
Imat[ncore:neleca, :ncore] = 0
Imat[nocc:, neleca:nocc] = 0
Imat[neleca:nocc, nocc:] = 0
Imat[neleca:, :neleca] = Imat[:neleca, neleca:].T
im1 = reduce(numpy.dot, (mo_coeff, Imat, mo_coeff.T))
casci_dm1 = dm_core + dm_cas
hf_dm1 = mc._scf.make_rdm1(mo_coeff, mc._scf.mo_occ)
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
diag_idx = numpy.arange(nao)
diag_idx = diag_idx * (diag_idx + 1) // 2 + diag_idx
casdm2_cc = casdm2 + casdm2.transpose(0, 1, 3, 2)
dm2buf = ao2mo._ao2mo.nr_e2(casdm2_cc.reshape(ncas**2, ncas**2), mo_cas.T,
(0, nao, 0, nao)).reshape(ncas**2, nao, nao)
dm2buf = lib.pack_tril(dm2buf)
dm2buf[:, diag_idx] *= .5
dm2buf = dm2buf.reshape(ncas, ncas, nao_pair)
casdm2 = casdm2_cc = None
if atmlst is None:
atmlst = range(mol.natm)
aoslices = mol.aoslice_by_atom()
de = numpy.zeros((len(atmlst), 3))
max_memory = mc.max_memory - lib.current_memory()[0]
blksize = int(max_memory * .9e6 / 8 /
((aoslices[:, 3] - aoslices[:, 2]).max() * nao_pair))
blksize = min(nao, max(2, blksize))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = aoslices[ia]
h1ao = hcore_deriv(ia)
de[k] += numpy.einsum('xij,ij->x', h1ao, casci_dm1)
de[k] += numpy.einsum('xij,ij->x', h1ao, zvec_ao)
vhf1 = numpy.zeros((3, nao, nao))
q1 = 0
for b0, b1, nf in _shell_prange(mol, 0, mol.nbas, blksize):
q0, q1 = q1, q1 + nf
dm2_ao = lib.einsum('ijw,pi,qj->pqw', dm2buf, mo_cas[p0:p1],
mo_cas[q0:q1])
shls_slice = (shl0, shl1, b0, b1, 0, mol.nbas, 0, mol.nbas)
eri1 = mol.intor('int2e_ip1',
comp=3,
aosym='s2kl',
shls_slice=shls_slice).reshape(
3, p1 - p0, nf, nao_pair)
de[k] -= numpy.einsum('xijw,ijw->x', eri1, dm2_ao) * 2
for i in range(3):
eri1tmp = lib.unpack_tril(eri1[i].reshape((p1 - p0) * nf, -1))
eri1tmp = eri1tmp.reshape(p1 - p0, nf, nao, nao)
de[k, i] -= numpy.einsum('ijkl,ij,kl', eri1tmp,
hf_dm1[p0:p1, q0:q1], zvec_ao) * 2
de[k, i] -= numpy.einsum('ijkl,kl,ij', eri1tmp, hf_dm1,
zvec_ao[p0:p1, q0:q1]) * 2
de[k, i] += numpy.einsum('ijkl,il,kj', eri1tmp, hf_dm1[p0:p1],
zvec_ao[q0:q1])
de[k, i] += numpy.einsum('ijkl,jk,il', eri1tmp, hf_dm1[q0:q1],
zvec_ao[p0:p1])
#:vhf1c, vhf1a = mf_grad.get_veff(mol, (dm_core, dm_cas))
#:de[k] += numpy.einsum('xij,ij->x', vhf1c[:,p0:p1], casci_dm1[p0:p1]) * 2
#:de[k] += numpy.einsum('xij,ij->x', vhf1a[:,p0:p1], dm_core[p0:p1]) * 2
de[k, i] -= numpy.einsum('ijkl,lk,ij', eri1tmp, dm_core[q0:q1],
casci_dm1[p0:p1]) * 2
de[k, i] += numpy.einsum('ijkl,jk,il', eri1tmp, dm_core[q0:q1],
casci_dm1[p0:p1])
de[k, i] -= numpy.einsum('ijkl,lk,ij', eri1tmp, dm_cas[q0:q1],
dm_core[p0:p1]) * 2
de[k, i] += numpy.einsum('ijkl,jk,il', eri1tmp, dm_cas[q0:q1],
dm_core[p0:p1])
eri1 = eri1tmp = None
de[k] -= numpy.einsum('xij,ij->x', s1[:, p0:p1], im1[p0:p1])
de[k] -= numpy.einsum('xij,ji->x', s1[:, p0:p1], im1[:, p0:p1])
de[k] -= numpy.einsum('xij,ij->x', s1[:, p0:p1], zeta[p0:p1]) * 2
de[k] -= numpy.einsum('xij,ji->x', s1[:, p0:p1], zeta[:, p0:p1]) * 2
de[k] -= numpy.einsum('xij,ij->x', s1[:, p0:p1], vhf_s1occ[p0:p1]) * 2
de[k] -= numpy.einsum('xij,ji->x', s1[:, p0:p1], vhf_s1occ[:,
p0:p1]) * 2
de += rhf_grad.grad_nuc(mol, atmlst)
return de
def kernel(td_grad,
x_y,
singlet=True,
atmlst=None,
max_memory=2000,
verbose=logger.INFO):
log = logger.new_logger(td_grad, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x + y).reshape(nocc, nvir).T
xmy = (x - y).reshape(nocc, nvir).T
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum(
'ai,bi->ab', xmy, xmy)
doo = -numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum(
'ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo += reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory * .9 - mem_now)
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 3, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, mol.spin)
# dm0 = mf.make_rdm1(mo_coeff, mo_occ), but it is not used when computing
# fxc since rho0 is passed to fxc function.
dm0 = None
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol,
mf.grids,
mf.xc, [mo_coeff] * 2,
[mo_occ * .5] * 2,
spin=1)
f1vo, f1oo, vxc1, k1ao = \
_contract_xc_kernel(td_grad, mf.xc, dmzvop,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
dm = (dmzoo, dmzvop + dmzvop.T, dmzvom - dmzvom.T)
vj, vk = mf.get_jk(mol, dm, hermi=0)
vk *= hyb
if abs(omega) > 1e-10:
vk += rks._get_k_lr(mol, dm, omega) * (alpha - hyb)
veff0doo = vj[0] * 2 - vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1] + f1vo[0] * 2
else:
veff = -vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:, nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmzvop + dmzvop.T), hermi=1)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo, nmo))
def fvind(x):
# Cannot make call to .base.get_vind because first order orbitals are solved
# through closed shell ground state CPHF.
dm = reduce(numpy.dot, (orbv, x.reshape(nvir, nocc), orbo.T))
dm = dm + dm.T
# Call singlet XC kernel contraction, for closed shell ground state
vindxc = numint.nr_rks_fxc_st(ni, mol, mf.grids, mf.xc, dm0, dm, 0,
singlet, rho0, vxc, fxc, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, dm)
veff = vj * 2 - hyb * vk + vindxc
if abs(omega) > 1e-10:
veff -= rks._get_k_lr(mol, dm, omega, hermi=1) * (alpha - hyb)
else:
vj = mf.get_j(mol, dm)
veff = vj * 2 + vindxc
return reduce(numpy.dot, (orbv.T, veff, orbo)).ravel()
z1 = cphf.solve(fvind,
mo_energy,
mo_occ,
wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir, nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
# Note Z-vector is always associated to singlet integrals.
fxcz1 = _contract_xc_kernel(td_grad, mf.xc, z1ao, None, False, False, True,
max_memory)[0]
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - hyb * vk + fxcz1[0]
if abs(omega) > 1e-10:
veff -= rks._get_k_lr(mol, z1ao, omega) * (alpha - hyb)
else:
vj = mf.get_j(mol, z1ao, hermi=1)
veff = vj * 2 + fxcz1[0]
im0 = numpy.zeros((nmo, nmo))
im0[:nocc, :nocc] = reduce(numpy.dot, (orbo.T, veff0doo + veff, orbo))
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mop[nocc:, :nocc], xpy)
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:, :nocc], xpy)
im0[nocc:, nocc:] += numpy.einsum('ci,ai->ac', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, :nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc],
xpy) * 2
im0[nocc:, :nocc] += numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc],
xmy) * 2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo, nmo))
dm1[:nocc, :nocc] = doo
dm1[nocc:, nocc:] = dvv
dm1[nocc:, :nocc] = z1
dm1[:nocc, :nocc] += numpy.eye(nocc) * 2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0 + zeta * dm1, mo_coeff.T))
hcore_deriv = td_grad.hcore_generator(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
dm = (oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T, dmzvom - dmzvom.T)
vj, vk = td_grad.get_jk(mol, dm)
vk *= hyb
if abs(omega) > 1e-10:
with mol.with_range_coulomb(omega):
vk += td_grad.get_k(mol, dm) * (alpha - hyb)
vj = vj.reshape(-1, 3, nao, nao)
vk = vk.reshape(-1, 3, nao, nao)
if singlet:
veff1 = vj * 2 - vk
else:
veff1 = numpy.vstack((vj[:2] * 2 - vk[:2], -vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T))
vj = vj.reshape(-1, 3, nao, nao)
veff1 = numpy.zeros((4, 3, nao, nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
veff1[0] += vxc1[1:]
veff1[1] += (f1oo[1:] + fxcz1[1:] +
k1ao[1:] * 2) * 2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:, p0:p1] += veff1[0, :, p0:p1]
h1ao[:, :, p0:p1] += veff1[0, :, p0:p1].transpose(0, 2, 1)
# oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:, p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:, p0:p1], im0[:, p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1, :, p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2, :, p0:p1],
dmzvop[p0:p1, :]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3, :, p0:p1],
dmzvom[p0:p1, :]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2, :, p0:p1], dmzvop[:,
p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3, :, p0:p1], dmzvom[:,
p0:p1]) * 2
de[k] = e1
log.timer('TDDFT nuclear gradients', *time0)
return de
def kernel(tdgrad,
z,
atmlst=None,
mf_grad=None,
max_memory=2000,
verbose=logger.INFO):
mol = tdgrad.mol
mf = tdgrad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
#eai = lib.direct_sum('a-i->ai', mo_energy[nocc:], mo_energy[:nocc])
z = z[0].reshape(nocc, nvir).T
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
def fvind(x):
dm = numpy.einsum('pi,xij,qj->xpq', orbv, x, orbo)
v_ao = mf.get_veff(mol, (dm + dm.transpose(0, 2, 1))) * 2
return numpy.einsum('pi,xpq,qj->xij', orbv, v_ao, orbo).reshape(3, -1)
h1 = rhf_grad.get_hcore(mol)
s1 = rhf_grad.get_ovlp(mol)
eri1 = -mol.intor('int2e_ip1', aosym='s1', comp=3)
eri1 = eri1.reshape(3, nao, nao, nao, nao)
eri0 = ao2mo.kernel(mol, mo_coeff)
eri0 = ao2mo.restore(1, eri0, nmo).reshape(nmo, nmo, nmo, nmo)
g = eri0 * 2 - eri0.transpose(0, 3, 2, 1)
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
mol.set_rinv_origin(mol.atom_coord(ia))
h1ao = -mol.atom_charge(ia) * mol.intor('int1e_iprinv', comp=3)
h1ao[:, p0:p1] += h1[:, p0:p1]
h1ao = h1ao + h1ao.transpose(0, 2, 1)
h1mo = numpy.einsum('pi,xpq,qj->xij', mo_coeff, h1ao, mo_coeff)
s1mo = numpy.einsum('pi,xpq,qj->xij', mo_coeff[p0:p1], s1[:, p0:p1],
mo_coeff)
s1mo = s1mo + s1mo.transpose(0, 2, 1)
f1 = h1mo - numpy.einsum('xpq,pq->xpq', s1mo, zeta)
f1 -= numpy.einsum('klpq,xlk->xpq', g[:nocc, :nocc],
s1mo[:, :nocc, :nocc])
eri1a = eri1.copy()
eri1a[:, :p0] = 0
eri1a[:, p1:] = 0
eri1a = eri1a + eri1a.transpose(0, 2, 1, 3, 4)
eri1a = eri1a + eri1a.transpose(0, 3, 4, 1, 2)
g1 = numpy.einsum('xpjkl,pi->xijkl', eri1a, mo_coeff)
g1 = numpy.einsum('xipkl,pj->xijkl', g1, mo_coeff)
g1 = numpy.einsum('xijpl,pk->xijkl', g1, mo_coeff)
g1 = numpy.einsum('xijkp,pl->xijkl', g1, mo_coeff)
g1 = g1 * 2 - g1.transpose(0, 1, 4, 3, 2)
f1 += numpy.einsum('xkkpq->xpq', g1[:, :nocc, :nocc])
f1ai = f1[:, nocc:, :nocc].copy()
c1 = s1mo * -.5
c1vo = cphf.solve(fvind, mo_energy, mo_occ, f1ai, max_cycle=50)[0]
c1[:, nocc:, :nocc] = c1vo
c1[:, :nocc,
nocc:] = -(s1mo[:, nocc:, :nocc] + c1vo).transpose(0, 2, 1)
f1 += numpy.einsum('kapq,xak->xpq', g[:nocc, nocc:], c1vo)
f1 += numpy.einsum('akpq,xak->xpq', g[nocc:, :nocc], c1vo)
e1 = numpy.einsum('xaijb,ai,bj->x', g1[:, nocc:, :nocc, :nocc, nocc:],
z, z)
e1 += numpy.einsum('xab,ai,bi->x', f1[:, nocc:, nocc:], z, z)
e1 -= numpy.einsum('xij,ai,aj->x', f1[:, :nocc, :nocc], z, z)
g1 = numpy.einsum('pjkl,xpi->xijkl', g, c1)
g1 += numpy.einsum('ipkl,xpj->xijkl', g, c1)
g1 += numpy.einsum('ijpl,xpk->xijkl', g, c1)
g1 += numpy.einsum('ijkp,xpl->xijkl', g, c1)
e1 += numpy.einsum('xaijb,ai,bj->x', g1[:, nocc:, :nocc, :nocc, nocc:],
z, z)
de[k] = e1
return de
def kernel(mc, mo_coeff=None, ci=None, atmlst=None, mf_grad=None, verbose=None):
if mo_coeff is None: mo_coeff = mc._scf.mo_coeff
if ci is None: ci = mc.ci
if mf_grad is None: mf_grad = mc._scf.nuc_grad_method()
assert(isinstance(ci, numpy.ndarray))
mol = mc.mol
ncore = mc.ncore
ncas = mc.ncas
nocc = ncore + ncas
nelecas = mc.nelecas
nao, nmo = mo_coeff.shape
nao_pair = nao * (nao+1) // 2
mo_energy = mc._scf.mo_energy
mo_occ = mo_coeff[:,:nocc]
mo_core = mo_coeff[:,:ncore]
mo_cas = mo_coeff[:,ncore:nocc]
neleca, nelecb = mol.nelec
assert(neleca == nelecb)
orbo = mo_coeff[:,:neleca]
orbv = mo_coeff[:,neleca:]
casdm1, casdm2 = mc.fcisolver.make_rdm12(ci, ncas, nelecas)
dm_core = numpy.dot(mo_core, mo_core.T) * 2
dm_cas = reduce(numpy.dot, (mo_cas, casdm1, mo_cas.T))
aapa = ao2mo.kernel(mol, (mo_cas, mo_cas, mo_coeff, mo_cas), compact=False)
aapa = aapa.reshape(ncas,ncas,nmo,ncas)
vj, vk = mc._scf.get_jk(mol, (dm_core, dm_cas))
h1 = mc.get_hcore()
vhf_c = vj[0] - vk[0] * .5
vhf_a = vj[1] - vk[1] * .5
# Imat = h1_{pi} gamma1_{iq} + h2_{pijk} gamma_{iqkj}
Imat = numpy.zeros((nmo,nmo))
Imat[:,:nocc] = reduce(numpy.dot, (mo_coeff.T, h1 + vhf_c + vhf_a, mo_occ)) * 2
Imat[:,ncore:nocc] = reduce(numpy.dot, (mo_coeff.T, h1 + vhf_c, mo_cas, casdm1))
Imat[:,ncore:nocc] += lib.einsum('uviw,vuwt->it', aapa, casdm2)
aapa = vj = vk = vhf_c = vhf_a = h1 = None
ee = mo_energy[:,None] - mo_energy
zvec = numpy.zeros_like(Imat)
zvec[:ncore,ncore:neleca] = Imat[:ncore,ncore:neleca] / -ee[:ncore,ncore:neleca]
zvec[ncore:neleca,:ncore] = Imat[ncore:neleca,:ncore] / -ee[ncore:neleca,:ncore]
zvec[nocc:,neleca:nocc] = Imat[nocc:,neleca:nocc] / -ee[nocc:,neleca:nocc]
zvec[neleca:nocc,nocc:] = Imat[neleca:nocc,nocc:] / -ee[neleca:nocc,nocc:]
zvec_ao = reduce(numpy.dot, (mo_coeff, zvec+zvec.T, mo_coeff.T))
vhf = mc._scf.get_veff(mol, zvec_ao) * 2
xvo = reduce(numpy.dot, (orbv.T, vhf, orbo))
xvo += Imat[neleca:,:neleca] - Imat[:neleca,neleca:].T
def fvind(x):
x = x.reshape(xvo.shape)
dm = reduce(numpy.dot, (orbv, x, orbo.T))
v = mc._scf.get_veff(mol, dm + dm.T)
v = reduce(numpy.dot, (orbv.T, v, orbo))
return v * 2
dm1resp = cphf.solve(fvind, mo_energy, mc._scf.mo_occ, xvo, max_cycle=30)[0]
zvec[neleca:,:neleca] = dm1resp
zeta = numpy.einsum('ij,j->ij', zvec, mo_energy)
zeta = reduce(numpy.dot, (mo_coeff, zeta, mo_coeff.T))
zvec_ao = reduce(numpy.dot, (mo_coeff, zvec+zvec.T, mo_coeff.T))
p1 = numpy.dot(mo_coeff[:,:neleca], mo_coeff[:,:neleca].T)
vhf_s1occ = reduce(numpy.dot, (p1, mc._scf.get_veff(mol, zvec_ao), p1))
Imat[:ncore,ncore:neleca] = 0
Imat[ncore:neleca,:ncore] = 0
Imat[nocc:,neleca:nocc] = 0
Imat[neleca:nocc,nocc:] = 0
Imat[neleca:,:neleca] = Imat[:neleca,neleca:].T
im1 = reduce(numpy.dot, (mo_coeff, Imat, mo_coeff.T))
casci_dm1 = dm_core + dm_cas
hf_dm1 = mc._scf.make_rdm1(mo_coeff, mc._scf.mo_occ)
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
diag_idx = numpy.arange(nao)
diag_idx = diag_idx * (diag_idx+1) // 2 + diag_idx
casdm2_cc = casdm2 + casdm2.transpose(0,1,3,2)
dm2buf = ao2mo._ao2mo.nr_e2(casdm2_cc.reshape(ncas**2,ncas**2), mo_cas.T,
(0, nao, 0, nao)).reshape(ncas**2,nao,nao)
dm2buf = lib.pack_tril(dm2buf)
dm2buf[:,diag_idx] *= .5
dm2buf = dm2buf.reshape(ncas,ncas,nao_pair)
casdm2 = casdm2_cc = None
if atmlst is None:
atmlst = range(mol.natm)
aoslices = mol.aoslice_by_atom()
de = numpy.zeros((len(atmlst),3))
max_memory = mc.max_memory - lib.current_memory()[0]
blksize = int(max_memory*.9e6/8 / ((aoslices[:,3]-aoslices[:,2]).max()*nao_pair))
blksize = min(nao, max(2, blksize))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = aoslices[ia]
h1ao = hcore_deriv(ia)
de[k] += numpy.einsum('xij,ij->x', h1ao, casci_dm1)
de[k] += numpy.einsum('xij,ij->x', h1ao, zvec_ao)
vhf1 = numpy.zeros((3,nao,nao))
q1 = 0
for b0, b1, nf in _shell_prange(mol, 0, mol.nbas, blksize):
q0, q1 = q1, q1 + nf
dm2_ao = lib.einsum('ijw,pi,qj->pqw', dm2buf, mo_cas[p0:p1], mo_cas[q0:q1])
shls_slice = (shl0,shl1,b0,b1,0,mol.nbas,0,mol.nbas)
eri1 = mol.intor('int2e_ip1', comp=3, aosym='s2kl',
shls_slice=shls_slice).reshape(3,p1-p0,nf,nao_pair)
de[k] -= numpy.einsum('xijw,ijw->x', eri1, dm2_ao) * 2
for i in range(3):
eri1tmp = lib.unpack_tril(eri1[i].reshape((p1-p0)*nf,-1))
eri1tmp = eri1tmp.reshape(p1-p0,nf,nao,nao)
de[k,i] -= numpy.einsum('ijkl,ij,kl', eri1tmp, hf_dm1[p0:p1,q0:q1], zvec_ao) * 2
de[k,i] -= numpy.einsum('ijkl,kl,ij', eri1tmp, hf_dm1, zvec_ao[p0:p1,q0:q1]) * 2
de[k,i] += numpy.einsum('ijkl,il,kj', eri1tmp, hf_dm1[p0:p1], zvec_ao[q0:q1])
de[k,i] += numpy.einsum('ijkl,jk,il', eri1tmp, hf_dm1[q0:q1], zvec_ao[p0:p1])
#:vhf1c, vhf1a = mf_grad.get_veff(mol, (dm_core, dm_cas))
#:de[k] += numpy.einsum('xij,ij->x', vhf1c[:,p0:p1], casci_dm1[p0:p1]) * 2
#:de[k] += numpy.einsum('xij,ij->x', vhf1a[:,p0:p1], dm_core[p0:p1]) * 2
de[k,i] -= numpy.einsum('ijkl,lk,ij', eri1tmp, dm_core[q0:q1], casci_dm1[p0:p1]) * 2
de[k,i] += numpy.einsum('ijkl,jk,il', eri1tmp, dm_core[q0:q1], casci_dm1[p0:p1])
de[k,i] -= numpy.einsum('ijkl,lk,ij', eri1tmp, dm_cas[q0:q1], dm_core[p0:p1]) * 2
de[k,i] += numpy.einsum('ijkl,jk,il', eri1tmp, dm_cas[q0:q1], dm_core[p0:p1])
eri1 = eri1tmp = None
de[k] -= numpy.einsum('xij,ij->x', s1[:,p0:p1], im1[p0:p1])
de[k] -= numpy.einsum('xij,ji->x', s1[:,p0:p1], im1[:,p0:p1])
de[k] -= numpy.einsum('xij,ij->x', s1[:,p0:p1], zeta[p0:p1]) * 2
de[k] -= numpy.einsum('xij,ji->x', s1[:,p0:p1], zeta[:,p0:p1]) * 2
de[k] -= numpy.einsum('xij,ij->x', s1[:,p0:p1], vhf_s1occ[p0:p1]) * 2
de[k] -= numpy.einsum('xij,ji->x', s1[:,p0:p1], vhf_s1occ[:,p0:p1]) * 2
de += mf_grad.grad_nuc(mol, atmlst)
return de
def kernel(td_grad, x_y, singlet=True, atmlst=None,
max_memory=2000, verbose=logger.INFO):
log = logger.new_logger(td_grad, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x+y).reshape(nocc,nvir).T
xmy = (x-y).reshape(nocc,nvir).T
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum('ai,bi->ab', xmy, xmy)
doo =-numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum('ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo+= reduce(numpy.dot, (orbv, dvv, orbv.T))
vj, vk = mf.get_jk(mol, (dmzoo, dmzvop+dmzvop.T, dmzvom-dmzvom.T), hermi=0)
veff0doo = vj[0] * 2 - vk[0]
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1]
else:
veff = -vk[1]
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:,nocc:], xmy) * 2
def fvind(x): # For singlet, closed shell ground state
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc), orbo.T))
vj, vk = mf.get_jk(mol, (dm+dm.T))
return reduce(numpy.dot, (orbv.T, vj*2-vk, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - vk
im0 = numpy.zeros((nmo,nmo))
im0[:nocc,:nocc] = reduce(numpy.dot, (orbo.T, veff0doo+veff, orbo))
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mop[nocc:,:nocc], xpy)
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:,:nocc], xpy)
im0[nocc:,nocc:]+= numpy.einsum('ci,ai->ac', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,:nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy)*2
im0[nocc:,:nocc]+= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy)*2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo,nmo))
dm1[:nocc,:nocc] = doo
dm1[nocc:,nocc:] = dvv
dm1[nocc:,:nocc] = z1
dm1[:nocc,:nocc] += numpy.eye(nocc)*2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0+zeta*dm1, mo_coeff.T))
hcore_deriv = td_grad.hcore_generator(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
vj, vk = td_grad.get_jk(mol, (oo0, dmz1doo+dmz1doo.T, dmzvop+dmzvop.T,
dmzvom-dmzvom.T))
vj = vj.reshape(-1,3,nao,nao)
vk = vk.reshape(-1,3,nao,nao)
if singlet:
vhf1 = vj * 2 - vk
else:
vhf1 = numpy.vstack((vj[:2]*2-vk[:2], -vk[2:]))
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:,p0:p1] += vhf1[0,:,p0:p1]
h1ao[:,:,p0:p1] += vhf1[0,:,p0:p1].transpose(0,2,1)
# oo0*2 for doubly occupied orbitals
de[k] = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
de[k] += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
de[k] -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
de[k] -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[1,:,p0:p1], oo0[p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[2,:,p0:p1], dmzvop[p0:p1,:]) * 2
de[k] += numpy.einsum('xij,ij->x', vhf1[3,:,p0:p1], dmzvom[p0:p1,:]) * 2
de[k] += numpy.einsum('xji,ij->x', vhf1[2,:,p0:p1], dmzvop[:,p0:p1]) * 2
de[k] -= numpy.einsum('xji,ij->x', vhf1[3,:,p0:p1], dmzvom[:,p0:p1]) * 2
log.timer('TDHF nuclear gradients', *time0)
return de
def solve_mo1(mf, mo_energy, mo_coeff, mo_occ, h1ao_or_chkfile,
fx=None, atmlst=None, max_memory=4000, verbose=None):
if isinstance(verbose, logger.Logger):
log = verbose
else:
log = logger.Logger(mf.stdout, mf.verbose)
mol = mf.mol
if atmlst is None: atmlst = range(mol.natm)
nao, nmo = mo_coeff.shape
mocc = mo_coeff[:,mo_occ>0]
nocc = mocc.shape[1]
if fx is None:
def fx(mo1):
dm1 = numpy.einsum('xai,pa,qi->xpq', mo1, mo_coeff, mocc*2)
dm1 = dm1 + dm1.transpose(0,2,1)
v1 = mf.get_veff(mol, dm1)
return numpy.einsum('xpq,pa,qi->xai', v1, mo_coeff, mocc)
offsetdic = mol.offset_nr_by_atom()
mem_now = lib.current_memory()[0]
max_memory = max(4000, max_memory*.9-mem_now)
blksize = max(2, int(max_memory*1e6/8 / (nmo*nocc*3*6)))
s1a =-mol.intor('cint1e_ipovlp_sph', comp=3)
mo1s = []
e1s = []
for ia0, ia1 in prange(0, len(atmlst), blksize):
s1vo = []
h1vo = []
for i0 in range(ia0, ia1):
ia = atmlst[i0]
shl0, shl1, p0, p1 = offsetdic[ia]
s1ao = numpy.zeros((3,nao,nao))
s1ao[:,p0:p1] += s1a[:,p0:p1]
s1ao[:,:,p0:p1] += s1a[:,p0:p1].transpose(0,2,1)
s1vo.append(numpy.einsum('xpq,pi,qj->xij', s1ao, mo_coeff, mocc))
if isinstance(h1ao_or_chkfile, str):
key = 'scf_h1ao/%d' % ia
h1ao = lib.chkfile.load(h1ao_or_chkfile, key)
else:
h1ao = h1ao_or_chkfile[i0]
h1vo.append(numpy.einsum('xpq,pi,qj->xij', h1ao, mo_coeff, mocc))
h1vo = numpy.vstack(h1vo)
s1vo = numpy.vstack(s1vo)
mo1, e1 = cphf.solve(fx, mo_energy, mo_occ, h1vo, s1vo)
mo1 = numpy.einsum('pq,xqi->xpi', mo_coeff, mo1).reshape(-1,3,nmo,nocc)
if isinstance(h1ao_or_chkfile, str):
for k in range(ia1-ia0):
key = 'scf_mo1/%d' % atmlst[k+ia0]
lib.chkfile.save(h1ao_or_chkfile, key, mo1[k])
mo1s.append(key)
else:
mo1s.append(mo1)
e1s.append(e1.reshape(-1,3,nocc,nocc))
e1s = numpy.vstack(e1s)
if isinstance(h1ao_or_chkfile, str):
return h1ao_or_chkfile, e1s
else:
return numpy.vstack(mo1s), e1s
def kernel(td_grad,
x_y,
singlet=True,
atmlst=None,
max_memory=2000,
verbose=logger.INFO):
x, y = x_y
if isinstance(verbose, logger.Logger):
log = verbose
else:
log = logger.Logger(td_grad.stdout, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad._td._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
xpy = (x + y).reshape(nvir, nocc)
xmy = (x - y).reshape(nvir, nocc)
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum(
'ai,bi->ab', xmy, xmy)
doo = -numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum(
'ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo += reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = pyscf.lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory * .9 - mem_now)
ni = mf._numint
hyb = ni.hybrid_coeff(mf.xc, spin=mol.spin)
dm0 = None # mf.make_rdm1(mo_coeff, mo_occ)
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol,
mf.grids,
mf.xc, [mo_coeff] * 2,
[mo_occ * .5] * 2,
spin=1)
f1vo, f1oo, vxc1, k1ao = \
_contract_xc_kernel(td_grad, mf.xc, dmzvop,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, (dmzoo, dmzvop + dmzvop.T, dmzvom - dmzvom.T),
hermi=0)
veff0doo = vj[0] * 2 - hyb * vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - hyb * vk[1] + f1vo[0] * 2
else:
veff = -hyb * vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff = -hyb * vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:, nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmzvop + dmzvop.T), hermi=1)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo, nmo))
def fvind(x):
# Cannot make call to ._td.get_vind because first order orbitals are solved
# through closed shell ground state CPHF.
dm = reduce(numpy.dot, (orbv, x.reshape(nvir, nocc), orbo.T))
dm = dm + dm.T
# Call singlet XC kernel contraction, for closed shell ground state
vindxc = numint.nr_rks_fxc_st(ni, mol, mf.grids, mf.xc, dm0, dm, 0,
singlet, rho0, vxc, fxc, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, (dm + dm.T))
veff = vj * 2 - hyb * vk + vindxc
else:
vj = mf.get_j(mol, (dm + dm.T))
veff = vj * 2 + vindxc
return reduce(numpy.dot, (orbv.T, veff, orbo)).ravel()
z1 = cphf.solve(fvind,
mo_energy,
mo_occ,
wvo,
max_cycle=td_grad.max_cycle_cphf,
tol=td_grad.conv_tol)[0]
z1 = z1.reshape(nvir, nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
# Note Z-vector is always associated to singlet integrals.
fxcz1 = _contract_xc_kernel(td_grad, mf.xc, z1ao, None, False, False, True,
max_memory)[0]
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - hyb * vk + fxcz1[0]
else:
vj = mf.get_j(mol, z1ao, hermi=1)
veff = vj * 2 + fxcz1[0]
im0 = numpy.zeros((nmo, nmo))
im0[:nocc, :nocc] = reduce(numpy.dot, (orbo.T, veff0doo + veff, orbo))
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mop[nocc:, :nocc], xpy)
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:, :nocc], xpy)
im0[nocc:, nocc:] += numpy.einsum('ci,ai->ac', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, :nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc],
xpy) * 2
im0[nocc:, :nocc] += numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc],
xmy) * 2
zeta = pyscf.lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo, nmo))
dm1[:nocc, :nocc] = doo
dm1[nocc:, nocc:] = dvv
dm1[nocc:, :nocc] = z1
dm1[:nocc, :nocc] += numpy.eye(nocc) * 2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0 + zeta * dm1, mo_coeff.T))
h1 = td_grad.get_hcore(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
vj, vk = td_grad.get_jk(
mol,
(oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T, dmzvom - dmzvom.T))
vj = vj.reshape(-1, 3, nao, nao)
vk = vk.reshape(-1, 3, nao, nao)
if singlet:
veff1 = vj * 2 - hyb * vk
else:
veff1 = numpy.vstack((vj[:2] * 2 - hyb * vk[:2], -hyb * vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T))
vj = vj.reshape(-1, 3, nao, nao)
veff1 = numpy.zeros((4, 3, nao, nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
veff1[0] += vxc1[1:]
veff1[1] += (f1oo[1:] + fxcz1[1:] +
k1ao[1:] * 2) * 2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
mol.set_rinv_origin(mol.atom_coord(ia))
h1ao = -mol.atom_charge(ia) * mol.intor('int1e_iprinv', comp=3)
h1ao[:, p0:p1] += h1[:, p0:p1] + veff1[0, :, p0:p1]
# Ground state gradients
# h1ao*2 for +c.c, oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 4
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 += numpy.einsum('xqp,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:, p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:, p0:p1], im0[:, p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1, :, p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2, :, p0:p1],
dmzvop[p0:p1, :]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3, :, p0:p1],
dmzvom[p0:p1, :]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2, :, p0:p1], dmzvop[:,
p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3, :, p0:p1], dmzvom[:,
p0:p1]) * 2
de[k] = e1
log.timer('TDDFT nuclear gradients', *time0)
return de
def kernel(td_grad, x_y, singlet=True, atmlst=None, max_memory=2000, verbose=logger.INFO):
if isinstance(verbose, logger.Logger):
log = verbose
else:
log = logger.Logger(td_grad.stdout, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad._td._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x + y).reshape(nvir, nocc)
xmy = (x - y).reshape(nvir, nocc)
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
dvv = numpy.einsum("ai,bi->ab", xpy, xpy) + numpy.einsum("ai,bi->ab", xmy, xmy)
doo = -numpy.einsum("ai,aj->ij", xpy, xpy) - numpy.einsum("ai,aj->ij", xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo += reduce(numpy.dot, (orbv, dvv, orbv.T))
vj, vk = mf.get_jk(mol, (dmzoo, dmzvop + dmzvop.T, dmzvom - dmzvom.T), hermi=0)
veff0doo = vj[0] * 2 - vk[0]
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1]
else:
veff = -vk[1]
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum("ki,ai->ak", veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum("ac,ai->ci", veff0mop[nocc:, nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum("ki,ai->ak", veff0mom[:nocc, :nocc], xmy) * 2
wvo += numpy.einsum("ac,ai->ci", veff0mom[nocc:, nocc:], xmy) * 2
def fvind(x): # For singlet, closed shell ground state
dm = reduce(numpy.dot, (orbv, x.reshape(nvir, nocc), orbo.T))
vj, vk = mf.get_jk(mol, (dm + dm.T))
return reduce(numpy.dot, (orbv.T, vj * 2 - vk, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo, max_cycle=td_grad.max_cycle_cphf, tol=td_grad.conv_tol)[0]
z1 = z1.reshape(nvir, nocc)
time1 = log.timer("Z-vector using CPHF solver", *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - vk
im0 = numpy.zeros((nmo, nmo))
im0[:nocc, :nocc] = reduce(numpy.dot, (orbo.T, veff0doo + veff, orbo))
im0[:nocc, :nocc] += numpy.einsum("ak,ai->ki", veff0mop[nocc:, :nocc], xpy)
im0[:nocc, :nocc] += numpy.einsum("ak,ai->ki", veff0mom[nocc:, :nocc], xmy)
im0[nocc:, nocc:] = numpy.einsum("ci,ai->ac", veff0mop[nocc:, :nocc], xpy)
im0[nocc:, nocc:] += numpy.einsum("ci,ai->ac", veff0mom[nocc:, :nocc], xmy)
im0[nocc:, :nocc] = numpy.einsum("ki,ai->ak", veff0mop[:nocc, :nocc], xpy) * 2
im0[nocc:, :nocc] += numpy.einsum("ki,ai->ak", veff0mom[:nocc, :nocc], xmy) * 2
zeta = pyscf.lib.direct_sum("i+j->ij", mo_energy, mo_energy) * 0.5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo, nmo))
dm1[:nocc, :nocc] = doo
dm1[nocc:, nocc:] = dvv
dm1[nocc:, :nocc] = z1
dm1[:nocc, :nocc] += numpy.eye(nocc) * 2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0 + zeta * dm1, mo_coeff.T))
h1 = td_grad.get_hcore(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
vj, vk = td_grad.get_jk(mol, (oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T, dmzvom - dmzvom.T))
vj = vj.reshape(-1, 3, nao, nao)
vk = vk.reshape(-1, 3, nao, nao)
if singlet:
vhf1 = vj * 2 - vk
else:
vhf1 = numpy.vstack((vj[:2] * 2 - vk[:2], -vk[2:]))
time1 = log.timer("2e AO integral derivatives", *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
mol.set_rinv_origin(mol.atom_coord(ia))
h1ao = -mol.atom_charge(ia) * mol.intor("cint1e_iprinv_sph", comp=3)
h1ao[:, p0:p1] += h1[:, p0:p1] + vhf1[0, :, p0:p1]
# Ground state gradients
# h1ao*2 for +c.c, oo0*2 for doubly occupied orbitals
de[k] = numpy.einsum("xpq,pq->x", h1ao, oo0) * 4
de[k] += numpy.einsum("xpq,pq->x", h1ao, dmz1doo)
de[k] += numpy.einsum("xqp,pq->x", h1ao, dmz1doo)
de[k] -= numpy.einsum("xpq,pq->x", s1[:, p0:p1], im0[p0:p1])
de[k] -= numpy.einsum("xqp,pq->x", s1[:, p0:p1], im0[:, p0:p1])
de[k] += numpy.einsum("xij,ij->x", vhf1[1, :, p0:p1], oo0[p0:p1])
de[k] += numpy.einsum("xij,ij->x", vhf1[2, :, p0:p1], dmzvop[p0:p1, :]) * 2
de[k] += numpy.einsum("xij,ij->x", vhf1[3, :, p0:p1], dmzvom[p0:p1, :]) * 2
de[k] += numpy.einsum("xji,ij->x", vhf1[2, :, p0:p1], dmzvop[:, p0:p1]) * 2
de[k] -= numpy.einsum("xji,ij->x", vhf1[3, :, p0:p1], dmzvom[:, p0:p1]) * 2
log.timer("TDHF nuclear gradients", *time0)
return de
veff0mom = numpy.zeros((nmo,nmo))
def fvind(x):
# Cannot make call to ._td.get_vind because first order orbitals are solved
# through closed shell ground state CPHF.
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc), orbo.T))
# Call singlet XC kernel contraction, for closed shell ground state
vindxc = rks._contract_xc_kernel(td_grad._td, x_code, c_code,
[dm+dm.T], True, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, (dm+dm.T))
veff = vj * 2 - hyb * vk + vindxc
else:
vj = mf.get_j(mol, (dm+dm.T))
veff = vj * 2 + vindxc
return reduce(numpy.dot, (orbv.T, veff, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.max_cycle_cphf, tol=td_grad.conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
# Note Z-vector is always associated to singlet integrals.
fxcz1 = _contract_xc_kernel(td_grad, x_code, c_code, z1ao, None,
False, False, True, max_memory)[0]
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - hyb * vk + fxcz1[0]
else:
vj = mf.get_j(mol, z1ao, hermi=1)
veff = vj * 2 + fxcz1[0]
im0 = numpy.zeros((nmo,nmo))
def kernel(td_grad,
x_y,
singlet=True,
atmlst=None,
max_memory=2000,
verbose=logger.INFO):
log = logger.new_logger(td_grad, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ > 0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x + y).reshape(nocc, nvir).T
xmy = (x - y).reshape(nocc, nvir).T
orbv = mo_coeff[:, nocc:]
orbo = mo_coeff[:, :nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum(
'ai,bi->ab', xmy, xmy)
doo = -numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum(
'ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo += reduce(numpy.dot, (orbv, dvv, orbv.T))
vj, vk = mf.get_jk(mol, (dmzoo, dmzvop + dmzvop.T, dmzvom - dmzvom.T),
hermi=0)
veff0doo = vj[0] * 2 - vk[0]
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1]
else:
veff = -vk[1]
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:, nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:, nocc:], xmy) * 2
def fvind(x): # For singlet, closed shell ground state
dm = reduce(numpy.dot, (orbv, x.reshape(nvir, nocc), orbo.T))
vj, vk = mf.get_jk(mol, (dm + dm.T))
return reduce(numpy.dot, (orbv.T, vj * 2 - vk, orbo)).ravel()
z1 = cphf.solve(fvind,
mo_energy,
mo_occ,
wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir, nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - vk
im0 = numpy.zeros((nmo, nmo))
im0[:nocc, :nocc] = reduce(numpy.dot, (orbo.T, veff0doo + veff, orbo))
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mop[nocc:, :nocc], xpy)
im0[:nocc, :nocc] += numpy.einsum('ak,ai->ki', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:, :nocc], xpy)
im0[nocc:, nocc:] += numpy.einsum('ci,ai->ac', veff0mom[nocc:, :nocc], xmy)
im0[nocc:, :nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc, :nocc],
xpy) * 2
im0[nocc:, :nocc] += numpy.einsum('ki,ai->ak', veff0mom[:nocc, :nocc],
xmy) * 2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:, :nocc] = mo_energy[:nocc]
zeta[:nocc, nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo, nmo))
dm1[:nocc, :nocc] = doo
dm1[nocc:, nocc:] = dvv
dm1[nocc:, :nocc] = z1
dm1[:nocc, :nocc] += numpy.eye(nocc) * 2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0 + zeta * dm1, mo_coeff.T))
hcore_deriv = td_grad.hcore_generator(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
vj, vk = td_grad.get_jk(
mol, (oo0, dmz1doo + dmz1doo.T, dmzvop + dmzvop.T, dmzvom - dmzvom.T))
vj = vj.reshape(-1, 3, nao, nao)
vk = vk.reshape(-1, 3, nao, nao)
if singlet:
vhf1 = vj * 2 - vk
else:
vhf1 = numpy.vstack((vj[:2] * 2 - vk[:2], -vk[2:]))
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst), 3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:, p0:p1] += vhf1[0, :, p0:p1]
h1ao[:, :, p0:p1] += vhf1[0, :, p0:p1].transpose(0, 2, 1)
# oo0*2 for doubly occupied orbitals
de[k] = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
de[k] += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
de[k] -= numpy.einsum('xpq,pq->x', s1[:, p0:p1], im0[p0:p1])
de[k] -= numpy.einsum('xqp,pq->x', s1[:, p0:p1], im0[:, p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[1, :, p0:p1], oo0[p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[2, :, p0:p1],
dmzvop[p0:p1, :]) * 2
de[k] += numpy.einsum('xij,ij->x', vhf1[3, :, p0:p1],
dmzvom[p0:p1, :]) * 2
de[k] += numpy.einsum('xji,ij->x', vhf1[2, :, p0:p1],
dmzvop[:, p0:p1]) * 2
de[k] -= numpy.einsum('xji,ij->x', vhf1[3, :, p0:p1],
dmzvom[:, p0:p1]) * 2
log.timer('TDHF nuclear gradients', *time0)
return de
def kernel(td_grad, x_y, singlet=True, atmlst=None,
max_memory=2000, verbose=logger.INFO):
log = logger.new_logger(td_grad, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x+y).reshape(nocc,nvir).T
xmy = (x-y).reshape(nocc,nvir).T
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum('ai,bi->ab', xmy, xmy)
doo =-numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum('ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo+= reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory*.9-mem_now)
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 3, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, mol.spin)
# dm0 = mf.make_rdm1(mo_coeff, mo_occ), but it is not used when computing
# fxc since rho0 is passed to fxc function.
dm0 = None
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol, mf.grids, mf.xc,
[mo_coeff]*2, [mo_occ*.5]*2, spin=1)
f1vo, f1oo, vxc1, k1ao = \
_contract_xc_kernel(td_grad, mf.xc, dmzvop,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
dm = (dmzoo, dmzvop+dmzvop.T, dmzvom-dmzvom.T)
vj, vk = mf.get_jk(mol, dm, hermi=0)
vk *= hyb
if abs(omega) > 1e-10:
vk += rks._get_k_lr(mol, dm, omega) * (alpha-hyb)
veff0doo = vj[0] * 2 - vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1] + f1vo[0] * 2
else:
veff = -vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:,nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmzvop+dmzvop.T), hermi=1)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo,nmo))
def fvind(x):
# Cannot make call to .base.get_vind because first order orbitals are solved
# through closed shell ground state CPHF.
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc), orbo.T))
dm = dm + dm.T
# Call singlet XC kernel contraction, for closed shell ground state
vindxc = numint.nr_rks_fxc_st(ni, mol, mf.grids, mf.xc, dm0, dm, 0,
singlet, rho0, vxc, fxc, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, dm)
veff = vj * 2 - hyb * vk + vindxc
if abs(omega) > 1e-10:
veff -= rks._get_k_lr(mol, dm, omega, hermi=1) * (alpha-hyb)
else:
vj = mf.get_j(mol, dm)
veff = vj * 2 + vindxc
return reduce(numpy.dot, (orbv.T, veff, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.cphf_max_cycle, tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
# Note Z-vector is always associated to singlet integrals.
fxcz1 = _contract_xc_kernel(td_grad, mf.xc, z1ao, None,
False, False, True, max_memory)[0]
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - hyb * vk + fxcz1[0]
if abs(omega) > 1e-10:
veff -= rks._get_k_lr(mol, z1ao, omega) * (alpha-hyb)
else:
vj = mf.get_j(mol, z1ao, hermi=1)
veff = vj * 2 + fxcz1[0]
im0 = numpy.zeros((nmo,nmo))
im0[:nocc,:nocc] = reduce(numpy.dot, (orbo.T, veff0doo+veff, orbo))
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mop[nocc:,:nocc], xpy)
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:,:nocc], xpy)
im0[nocc:,nocc:]+= numpy.einsum('ci,ai->ac', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,:nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy)*2
im0[nocc:,:nocc]+= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy)*2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo,nmo))
dm1[:nocc,:nocc] = doo
dm1[nocc:,nocc:] = dvv
dm1[nocc:,:nocc] = z1
dm1[:nocc,:nocc] += numpy.eye(nocc)*2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0+zeta*dm1, mo_coeff.T))
hcore_deriv = td_grad.hcore_generator(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
dm = (oo0, dmz1doo+dmz1doo.T, dmzvop+dmzvop.T, dmzvom-dmzvom.T)
vj, vk = td_grad.get_jk(mol, dm)
vk *= hyb
if abs(omega) > 1e-10:
with mol.with_range_coulomb(omega):
vk += td_grad.get_k(mol, dm) * (alpha-hyb)
vj = vj.reshape(-1,3,nao,nao)
vk = vk.reshape(-1,3,nao,nao)
if singlet:
veff1 = vj * 2 - vk
else:
veff1 = numpy.vstack((vj[:2]*2-vk[:2], -vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo+dmz1doo.T, dmzvop+dmzvop.T))
vj = vj.reshape(-1,3,nao,nao)
veff1 = numpy.zeros((4,3,nao,nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
veff1[0] += vxc1[1:]
veff1[1] +=(f1oo[1:] + fxcz1[1:] + k1ao[1:]*2)*2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:,p0:p1] += veff1[0,:,p0:p1]
h1ao[:,:,p0:p1] += veff1[0,:,p0:p1].transpose(0,2,1)
# oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1,:,p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2,:,p0:p1], dmzvop[p0:p1,:]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3,:,p0:p1], dmzvom[p0:p1,:]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2,:,p0:p1], dmzvop[:,p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3,:,p0:p1], dmzvom[:,p0:p1]) * 2
de[k] = e1
log.timer('TDDFT nuclear gradients', *time0)
return de
def kernel(td_grad, x_y, singlet=True, atmlst=None,
max_memory=2000, verbose=logger.INFO):
x, y = x_y
if isinstance(verbose, logger.Logger):
log = verbose
else:
log = logger.Logger(td_grad.stdout, verbose)
time0 = time.clock(), time.time()
mol = td_grad.mol
mf = td_grad._td._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
xpy = (x+y).reshape(nvir,nocc)
xmy = (x-y).reshape(nvir,nocc)
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum('ai,bi->ab', xmy, xmy)
doo =-numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum('ai,aj->ij', xmy, xmy)
dmzvop = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmzvom = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo+= reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = pyscf.lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory*.9-mem_now)
hyb = mf._numint.hybrid_coeff(mf.xc, spin=(mol.spin>0)+1)
f1vo, f1oo, vxc1, k1ao = \
_contract_xc_kernel(td_grad, mf.xc, dmzvop,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, (dmzoo, dmzvop+dmzvop.T, dmzvom-dmzvom.T), hermi=0)
veff0doo = vj[0] * 2 - hyb * vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - hyb * vk[1] + f1vo[0] * 2
else:
veff = -hyb * vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff = -hyb * vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:,nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmzvop+dmzvop.T), hermi=1)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo,nmo))
def fvind(x):
# Cannot make call to ._td.get_vind because first order orbitals are solved
# through closed shell ground state CPHF.
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc), orbo.T))
# Call singlet XC kernel contraction, for closed shell ground state
vindxc = rks._contract_xc_kernel(td_grad._td, mf.xc,
[dm+dm.T], True, max_memory)
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, (dm+dm.T))
veff = vj * 2 - hyb * vk + vindxc
else:
vj = mf.get_j(mol, (dm+dm.T))
veff = vj * 2 + vindxc
return reduce(numpy.dot, (orbv.T, veff, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.max_cycle_cphf, tol=td_grad.conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
# Note Z-vector is always associated to singlet integrals.
fxcz1 = _contract_xc_kernel(td_grad, mf.xc, z1ao, None,
False, False, True, max_memory)[0]
if abs(hyb) > 1e-10:
vj, vk = mf.get_jk(mol, z1ao, hermi=0)
veff = vj * 2 - hyb * vk + fxcz1[0]
else:
vj = mf.get_j(mol, z1ao, hermi=1)
veff = vj * 2 + fxcz1[0]
im0 = numpy.zeros((nmo,nmo))
im0[:nocc,:nocc] = reduce(numpy.dot, (orbo.T, veff0doo+veff, orbo))
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mop[nocc:,:nocc], xpy)
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:,:nocc], xpy)
im0[nocc:,nocc:]+= numpy.einsum('ci,ai->ac', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,:nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy)*2
im0[nocc:,:nocc]+= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy)*2
zeta = pyscf.lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo,nmo))
dm1[:nocc,:nocc] = doo
dm1[nocc:,nocc:] = dvv
dm1[nocc:,:nocc] = z1
dm1[:nocc,:nocc] += numpy.eye(nocc)*2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0+zeta*dm1, mo_coeff.T))
h1 = td_grad.get_hcore(mol)
s1 = td_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
vj, vk = td_grad.get_jk(mol, (oo0, dmz1doo+dmz1doo.T, dmzvop+dmzvop.T,
dmzvom-dmzvom.T))
vj = vj.reshape(-1,3,nao,nao)
vk = vk.reshape(-1,3,nao,nao)
if singlet:
veff1 = vj * 2 - hyb * vk
else:
veff1 = numpy.vstack((vj[:2]*2-hyb*vk[:2], -hyb*vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo+dmz1doo.T, dmzvop+dmzvop.T))
vj = vj.reshape(-1,3,nao,nao)
veff1 = numpy.zeros((4,3,nao,nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
veff1[0] += vxc1[1:]
veff1[1] +=(f1oo[1:] + fxcz1[1:] + k1ao[1:]*2)*2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
mol.set_rinv_origin(mol.atom_coord(ia))
h1ao = -mol.atom_charge(ia) * mol.intor('cint1e_iprinv_sph', comp=3)
h1ao[:,p0:p1] += h1[:,p0:p1] + veff1[0,:,p0:p1]
# Ground state gradients
# h1ao*2 for +c.c, oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 4
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 += numpy.einsum('xqp,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1,:,p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2,:,p0:p1], dmzvop[p0:p1,:]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3,:,p0:p1], dmzvom[p0:p1,:]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2,:,p0:p1], dmzvop[:,p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3,:,p0:p1], dmzvom[:,p0:p1]) * 2
de[k] = e1
log.timer('TDDFT nuclear gradients', *time0)
return de
