The package implements a class to handle different calculations to obtain the electronic density of states of a nanomaterial. The code is based on the iterative use of the Dyson equation through a process called "dressing up" or "decimation." It is assumed the system is periodic along the axial axis.
Clone the repo: https://github.com/chinchay/GreenPy.git
or install it:
$ pip install GreenPyReady to use methods are available: get_density_OneLinearChain() and get_density_smallestZGNR() to calculate and display the electronic density of a linear chain of atoms and for the smallest zigzag graphene nanoribbon, respectively.
import numpy as np
from GreenPy import Green
import matplotlib.pyplot as plt
energy_list = np.arange(-3.15, 3.25, 0.05)
density_list = []
for energy in energy_list:
dens = Green.get_density_smallestZGNR(energy)
density_list.append( dens )
#
Green.plot(energy_list, density_list)
The src folder contains a performance comparison between Numpy and LAPACK functions. Unit test is also available.
The package allows to include electronic correlation. First, a self-consistent calculation is performed to find the occupation at each atom site:
import numpy as np
from GreenPy import Green
import matplotlib.pyplot as plt
from GreenPy import library as lib
nAtoms = 4 # for a 2-ZGNR
t00, t, td, onsite_list = lib.get_ZGNR_interactions(nAtoms)
g = Green(t00=t00, t=t, td=td, onsite_list=onsite_list, consider_spin=True)
store_errors=True
g.find_occupations(store_errors=True)
plt.plot(g.hist_err, '.')
plt.show()
Now, the DOS for electrons with spin up and down can be found after a decimation process, using the converged occupations stored in g:
energy_list = np.arange(-3.15, 3.25, 0.05)
up_list, dw_list = [], []
for (i, energy) in enumerate(energy_list):
up, dw = g.get_DOS(energy=energy)
up_list.append(up)
dw_list.append(dw)
#
g.plot(energy_list, up_list)
g.plot(energy_list, dw_list)
DOS curves are degenerated, so results for spin-down electrons are the same.
- A future release will connect the code to ASE objects and calculators
- Electric and magnetic field effects
- Rocha, C. Propriedades Físicas de Nanotubos de Carbono. Universidade Federal Fluminense, Brazil, 2005
- E. Economou. Green’s Functions in Quantum Physics. Springer, 2006. 11, 12, 70
- M. Di Ventra. Electrical Transport in Nanoscale Systems, 1st edition, pp 150. Cambridge University Press, 2008. 73
Code released under the MIT License