H = HubbardHamiltonian(Hsp2)
H.random_density()
H.set_polarization(up=[6], dn=[28])
n_AFM = H.n
f = open('FM-AFM.dat', 'w')
mixer = sisl.mixing.PulayMixer(0.7, history=7)
for u in np.arange(5, 0, -0.25):
# We approach the solutions for different U values
H.U = u
mixer.clear()
# AFM case first
success = H.read_density(
'clar-goblet.nc') # Try reading, if we already have density on file
if not success:
H.n = n_AFM.copy()
dn = H.converge(density.calc_n_insulator, tol=1e-10, mixer=mixer)
eAFM = H.Etot
H.write_density('clar-goblet.nc')
n_AFM = H.n.copy()
if u == 3.5:
p = plot.SpinPolarization(H, colorbar=True, vmax=0.4, vmin=-0.4)
p.savefig('spin_pol_U%i_AFM.pdf' % (H.U * 1000))
# Now FM case
H.q[0] += 1 # change to two more up-electrons than down
H.q[1] -= 1
# 3NN tight-binding model
Hsp2 = sp2(mol, t1=2.7, t2=0.2, t3=.18)
H = HubbardHamiltonian(Hsp2)
# Plot the single-particle TB (U = 0.0) wavefunction (SO) for Type 1
H.U = 0.0
ev, evec = H.eigh(eigvals_only=False, spin=0)
N = H.q[0]
midgap = H.find_midgap()
ev -= midgap
f = 3800
v = evec[:, int(round(N)) - 1]
j = np.argmax(abs(v))
wf = f * v**2 * np.sign(v[j]) * np.sign(v)
p = plot.Wavefunction(H, wf)
p.set_title(r'$E = %.3f$ eV' % (ev[int(round(N)) - 1]))
p.savefig('Fig3_SOMO.pdf')
# Plot MFH spin polarization for U = 3.5 eV
H.U = 3.5
success = H.read_density(
'fig3_type1.nc') # Try reading, if we already have density on file
if not success:
H.set_polarization([23])
mixer = sisl.mixing.PulayMixer(0.7, history=7)
H.converge(density.calc_n_insulator, mixer=mixer)
H.write_density('fig3_type1.nc')
p = plot.SpinPolarization(H, ext_geom=mol, vmax=0.20)
p.savefig('fig3_pol.pdf')
# Test all plot functionalities of hubbard module
# using a reference molecule (already converged)
# Build sisl Geometry object
molecule = sisl.get_sile('mol-ref/mol-ref.XV').read_geometry()
molecule.sc.set_nsc([1, 1, 1])
molecule = molecule.move(-molecule.center(what='xyz')).rotate(220, [0, 0, 1])
H_mol = sp2(molecule)
p = plot.BondHoppings(H_mol, annotate=False, off_diagonal_only=False, cmap_e='winter')
p.legend()
p.savefig('bondHoppings.pdf')
H = HubbardHamiltonian(H_mol, U=3.5)
H.read_density('mol-ref/density.nc')
H.iterate(density.calc_n_insulator)
p = plot.Charge(H, ext_geom=molecule, colorbar=True)
p.savefig('chg.pdf')
p = plot.ChargeDifference(H, ext_geom=molecule, colorbar=True)
p.savefig('chgdiff.pdf')
p = plot.SpinPolarization(H, ext_geom=molecule, colorbar=True, vmax=0.2)
p.annotate()
p.savefig('pol.pdf')
H.H.shift(-H.find_midgap())
ev, evec = H.eigh(eigvals_only=False, spin=0)
# Build sisl Geometry object only for a subset of atoms
molecule = sisl.get_sile('mol-ref/mol-ref.XV').read_geometry().sub([2,3,5])
molecule.sc.set_nsc([1, 1, 1])
# Build HubbardHamiltonian object
Hsp2 = sp2(molecule)
H = HubbardHamiltonian(Hsp2, U=3.5)
# Generate simple density
H.n = np.ones((2, H.sites))*0.5
print(f'1. Write and read densities under group {H.get_hash()} using the HubbardHamiltonian class\n')
# Write density in file
H.write_density('mol-ref/test.HU.nc', group=H.get_hash(), mode='w')
# Read density using the HubbardHamiltonian class
H.read_density('mol-ref/test.HU.nc', group=H.get_hash())
# Write another density in file under another group
print(f'2. Write another densities under another group\n')
H.n *= 2
H.write_density('mol-ref/test.HU.nc', group='group2', mode='a')
print('3. Read density, U and kT using ncsile from all groups')
fh = sisl.get_sile('mol-ref/test.HU.nc', mode='r')
for g in fh.groups:
print('group: ', g)
print('n:', fh.read_density(group=g))
print('U:', fh.read_U(group=g))
print('kT:', fh.read_kT(group=g))
print('\n')
# 3NN tight-binding model
Hsp2 = sp2(mol, t1=2.7, t2=0.2, t3=.18)
H = HubbardHamiltonian(Hsp2)
# Output file to collect the energy difference between
# FM and AFM solutions
f = open('FM-AFM.dat', 'w')
mixer = sisl.mixing.PulayMixer(0.7, history=7)
for u in np.linspace(0.0, 4.0, 5):
# We approach the solutions from above, starting at U=4eV
H.U = 4.0 - u
# AFM case first
success = H.read_density(
mol_file + '.nc') # Try reading, if we already have density on file
if not success:
H.random_density()
H.set_polarization([1, 6, 15]) # polarize lower zigzag edge
mixer.clear()
dn = H.converge(density.calc_n_insulator, mixer=mixer)
eAFM = H.Etot
H.write_density(mol_file + '.nc')
p = plot.SpinPolarization(H, colorbar=True, vmax=0.4, vmin=-0.4)
p.annotate()
p.savefig('%s-spin-U%i.pdf' % (mol_file, H.U * 1000))
# Now FM case
H.q[0] += 1 # change to two more up-electrons than down
H.q[1] -= 1
from hubbard import HubbardHamiltonian, sp2, density, NEGF
import sisl
# Build sisl Geometry object
molecule = sisl.get_sile('mol-ref/mol-ref.XV').read_geometry()
molecule.sc.set_nsc([1, 1, 1])
print('1. Run one iteration with calc_n_insulator')
Hsp2 = sp2(molecule)
H = HubbardHamiltonian(Hsp2, U=3.5)
H.random_density()
dn = H.iterate(density.calc_n_insulator, mixer=sisl.mixing.LinearMixer())
print(' dn, Etot: ', dn, H.Etot, '\n')
print('2. Run one iteration with data from ncfile')
H.read_density('mol-ref/density.nc', group='3abe772')
dn = H.iterate(density.calc_n_insulator, mixer=sisl.mixing.LinearMixer())
etot = 1 * H.Etot
print(' dn, Etot: ', dn, etot, '\n')
print('3. Run one iteration with calc_n')
d = H.iterate(density.calc_n, mixer=sisl.mixing.LinearMixer())
e = H.Etot
print(' dn, dEtot: ', d - dn, e - etot, '\n')
# Write fdf-block
print('\n4. Write initspin to fdf-block')
H.write_initspin('test.fdf', mode='w')
import random
print('5. Run one iteration for spin-degenerate calculation')
# Set U and kT for the whole calculation
U = 2.0
kT = 0.025
# Build zigzag GNR
ZGNR = sisl.geom.zgnr(5)
# and 3NN TB Hamiltonian
H_elec = sp2(ZGNR, t1=2.7, t2=0.2, t3=0.18)
mixer = sisl.mixing.PulayMixer(0.6, history=7)
# Hubbard Hamiltonian of elecs
MFH_elec = HubbardHamiltonian(H_elec, U=U, nkpt=[102, 1, 1], kT=kT)
# Initial densities
success = MFH_elec.read_density('elec_density.nc')
if not success:
# If no densities saved, start with random densities with maximized polarization at the edges
MFH_elec.random_density()
MFH_elec.set_polarization([0], dn=[9])
# Converge Electrode Hamiltonians
dn = MFH_elec.converge(density.calc_n, mixer=mixer)
# Write also densities for future calculations
MFH_elec.write_density('elec_density.nc')
# Plot spin polarization of electrodes
p = plot.SpinPolarization(MFH_elec, colorbar=True)
p.savefig('spin_elecs.pdf')
# Find Fermi level of reservoirs and write to netcdf file
Ef_elecs = MFH_elec.fermi_level(q=MFH_elec.q)
# 3NN tight-binding model
Hsp2 = sp2(mol, t1=2.7, t2=0.2, t3=.18)
H = HubbardHamiltonian(Hsp2)
# Output file to collect the energy difference between
# FM and AFM solutions
f = open('FM-AFM.dat', 'w')
mixer = sisl.mixing.PulayMixer(0.7, history=7)
H.set_polarization([77], dn=[23])
for u in np.linspace(0.0, 1.4, 15):
# We approach the solutions from above, starting at U=4eV
H.U = 4.4 - u
# AFM case first
success = H.read_density(
'fig_S15.nc') # Try reading, if we already have density on file
mixer.clear()
dn = H.converge(density.calc_n_insulator, mixer=mixer, tol=1e-6)
eAFM = H.Etot
H.write_density('fig_S15.nc')
# Now FM case
H.q[0] += 1 # change to two more up-electrons than down
H.q[1] -= 1
success = H.read_density(
'fig_S15.nc') # Try reading, if we already have density on file
mixer.clear()
dn = H.converge(density.calc_n_insulator, mixer=mixer, tol=1e-6)
eFM = H.Etot