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mirror of https://github.com/triqs/dft_tools synced 2024-09-12 05:38:31 +02:00

outsource calc_DC_from_density into util.py and cleanup

This commit is contained in:
Alexander Hampel 2023-03-20 10:01:44 -04:00
parent 0d25aefc73
commit 88094c0f92
3 changed files with 112 additions and 85 deletions

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@ -33,93 +33,12 @@ from triqs.utility.comparison_tests import assert_arrays_are_close
from h5 import * from h5 import *
from .symmetry import * from .symmetry import *
from .block_structure import BlockStructure from .block_structure import BlockStructure
from .util import compute_DC_from_density
from itertools import product from itertools import product
from warnings import warn from warnings import warn
from scipy import compress from scipy import compress
from scipy.optimize import minimize, newton, brenth from scipy.optimize import minimize, newton, brenth
def compute_DC_from_density(N_tot, U, J, N_spin = None, n_orbitals=5, method='sFLL'):
"""
Computes the double counting correction using various methods.
For FLL and AMF DC the notations and equations from doi.org/10.1038/s41598-018-27731-4
are used, whereas for the Held DC the definitions from doi.org/10.1080/00018730701619647 are used.
Parameters
----------
N_tot : float
Total density of the impurity
N_spin : float , default = None
Spin density, defaults to N_tot*0.5 if not specified
U : float
U value
J : float
J value
n_orbitals : int, default = 5
Total number of orbitals
method : string, default = 'cFLL'
possibilities:
- cFLL: DC potential from Ryee for spin unpolarized DFT: (DOI: 10.1038/s41598-018-27731-4)
- sFLL: same as above for spin polarized DFT
- cAMF: around mean field
- sAMF: spin polarized around mean field
- cHeld: unpolarized Held's formula as reported in (DOI: 10.1103/PhysRevResearch.2.03308)
- sHeld: NOT IMPLEMENTED
Returns
-------
List of floats:
- DC_val: double counting potential
- E_val: double counting energy
todo: See whether to move this to TRIQS directly instead of dft_tools
"""
if N_spin is not None:
N_spin2 = N_tot-N_spin
Mag = N_spin - N_spin2
L_orbit = (n_orbitals-1)/2
if method == 'cFLL':
E_val = 0.5 * U * N_tot * (N_tot-1) - 0.5 * J * N_tot * (N_tot*0.5-1)
DC_val = U * (N_tot-0.5) - J *(N_tot*0.5-0.5)
elif method == 'sFLL':
assert N_spin is not None, "Spin density not given"
E_val = 0.5 * U * N_tot * (N_tot-1) - 0.5 * J * N_tot * (N_tot*0.5-1) - 0.25 * J * Mag**2
DC_val = U * (N_tot-0.5) - J *(N_spin-0.5)
elif method == 'cAMF':
E_val = +0.5 * U * N_tot **2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot**2
DC_val = U * N_tot - 0.5*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot
elif method == 'sAMF':
assert N_spin is not None, "Spin density not given"
E_val = 0.5 * U * N_tot **2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot**2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*Mag**2
DC_val = U * N_tot - (U+2*L_orbit*J)/(2*L_orbit+1)*N_spin
elif method == 'cHeld':
# Valid for a Kanamori-type Hamiltonian where U'=U-2J
U_mean = (U + (n_orbitals-1)*(U-2*J)+(n_orbitals-1)*(U-3*J))/(2*n_orbitals-1)
E_val = 0.5 * U_mean * N_tot * (N_tot - 1)
DC_val = U_mean * (N_tot-0.5)
elif method == 'sHeld':
raise ValueError(f"Method sHeld not yet implemented")
else:
raise ValueError(f"DC type {method} not supported")
mpi.report(f"DC potential computed using the {method} method, V_DC = {DC_val:.6f} eV")
mpi.report(f"E_DC using the {method} method, E_DC = {E_val:.6f} eV")
if 'Held' in method:
mpi.report(f"Held method for {n_orbitals} orbitals, computed U_mean={U_mean:.6f} eV")
return DC_val, E_val
class SumkDFT(object): class SumkDFT(object):
"""This class provides a general SumK method for combining ab-initio code and triqs.""" """This class provides a general SumK method for combining ab-initio code and triqs."""

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@ -0,0 +1,107 @@
##########################################################################
#
# TRIQS: a Toolbox for Research in Interacting Quantum Systems
#
# Copyright (C) 2023 by A. Carta, A. Hampel
#
# TRIQS is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# TRIQS. If not, see <http://www.gnu.org/licenses/>.
#
##########################################################################
import numpy as np
import triqs.utility.mpi as mpi
def compute_DC_from_density(N_tot, U, J, N_spin=None, n_orbitals=5, method='sFLL'):
"""
Computes the double counting correction using various methods.
For FLL and AMF DC the notations and equations from doi.org/10.1038/s41598-018-27731-4
are used, whereas for the Held DC the definitions from doi.org/10.1080/00018730701619647 are used.
Parameters
----------
N_tot : float
Total density of the impurity
N_spin : float , default = None
Spin density, defaults to N_tot*0.5 if not specified
U : float
U value
J : float
J value
n_orbitals : int, default = 5
Total number of orbitals
method : string, default = 'cFLL'
possibilities:
- cFLL: DC potential from Ryee for spin unpolarized DFT: (DOI: 10.1038/s41598-018-27731-4)
- sFLL: same as above for spin polarized DFT
- cAMF: around mean field
- sAMF: spin polarized around mean field
- cHeld: unpolarized Held's formula as reported in (DOI: 10.1103/PhysRevResearch.2.03308)
- sHeld: NOT IMPLEMENTED
Returns
-------
List of floats:
- DC_val: double counting potential
- E_val: double counting energy
todo:
- See whether to move this to TRIQS directly instead of dft_tools
- allow as input full density matrix to allow orbital dependent DC
"""
if N_spin is not None:
N_spin2 = N_tot-N_spin
Mag = N_spin - N_spin2
L_orbit = (n_orbitals-1)/2
if method == 'cFLL':
E_val = 0.5 * U * N_tot * (N_tot-1) - 0.5 * J * N_tot * (N_tot*0.5-1)
DC_val = U * (N_tot-0.5) - J * (N_tot*0.5-0.5)
elif method == 'sFLL':
assert N_spin is not None, "Spin density not given"
E_val = 0.5 * U * N_tot * (N_tot-1) - 0.5 * J * N_tot * (N_tot*0.5-1) - 0.25 * J * Mag**2
DC_val = U * (N_tot-0.5) - J * (N_spin-0.5)
elif method == 'cAMF':
E_val = +0.5 * U * N_tot ** 2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot**2
DC_val = U * N_tot - 0.5*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot
elif method == 'sAMF':
assert N_spin is not None, "Spin density not given"
E_val = 0.5 * U * N_tot ** 2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*N_tot**2
E_val -= 0.25*(U+2*L_orbit*J)/(2*L_orbit+1)*Mag**2
DC_val = U * N_tot - (U+2*L_orbit*J)/(2*L_orbit+1)*N_spin
elif method == 'cHeld':
# Valid for a Kanamori-type Hamiltonian where U'=U-2J
U_mean = (U + (n_orbitals-1)*(U-2*J)+(n_orbitals-1)*(U-3*J))/(2*n_orbitals-1)
E_val = 0.5 * U_mean * N_tot * (N_tot - 1)
DC_val = U_mean * (N_tot-0.5)
elif method == 'sHeld':
raise ValueError(f"Method sHeld not yet implemented")
else:
raise ValueError(f"DC type {method} not supported")
mpi.report(f"DC potential computed using the {method} method, V_DC = {DC_val:.6f} eV")
mpi.report(f"E_DC using the {method} method, E_DC = {E_val:.6f} eV")
if 'Held' in method:
mpi.report(f"Held method for {n_orbitals} orbitals, computed U_mean={U_mean:.6f} eV")
return DC_val, E_val

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@ -23,6 +23,7 @@
import numpy as np import numpy as np
from triqs_dft_tools.sumk_dft import * from triqs_dft_tools.sumk_dft import *
from triqs_dft_tools.util import compute_DC_from_density
from triqs.gf import * from triqs.gf import *
from h5 import HDFArchive from h5 import HDFArchive
from triqs.operators.util import * from triqs.operators.util import *
@ -50,7 +51,7 @@ method_dict = {
def test_dc(method, method_dict, dens, Uval, Jval, filename): def test_dc(SK_compat, SK_new, method, method_dict, dens, Uval, Jval, filename):
dc_no = method_dict[method]["numbering_convention"] dc_no = method_dict[method]["numbering_convention"]
dc_string = method_dict[method]["new_convention"] dc_string = method_dict[method]["new_convention"]
@ -117,7 +118,7 @@ N_tot = N_up + N_down
mpi.report(f"{N_up=} ,{N_down=}, {N_tot=}\n") mpi.report(f"{N_up=} ,{N_down=}, {N_tot=}\n")
for method in ["FLL", "AMF", "Held"]: for method in ["FLL", "AMF", "Held"]:
test_dc(method, method_dict, dens, Uval, Jval, filename = f"{dft_filename}.h5") test_dc(SK_compat, SK_new, method, method_dict, dens, Uval, Jval, filename = f"{dft_filename}.h5")
#in case implementation changes, to write new testing data into archive #in case implementation changes, to write new testing data into archive
#R = HDFArchive('./NiO.ref.h5', 'a') #R = HDFArchive('./NiO.ref.h5', 'a')
@ -158,7 +159,7 @@ Uval = 5
Jval = 0.3 Jval = 0.3
for method in ["FLL", "AMF", "Held"]: for method in ["FLL", "AMF", "Held"]:
test_dc(method, method_dict, dens, Uval, Jval, filename = f"{dft_filename}.h5" ) test_dc(SK_compat, SK_new, method, method_dict, dens, Uval, Jval, filename = f"{dft_filename}.h5" )
#in case implementation changes, to write new testing data into archive #in case implementation changes, to write new testing data into archive
#R = HDFArchive(f'./{dft_filename}.h5', 'a') #R = HDFArchive(f'./{dft_filename}.h5', 'a')