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* [http://www.youtube.com/watch?v=hUVu7Kcs7Tc VIDEO Tutorial: CO molecule]
* [http://www.youtube.com/watch?v=hUVu7Kcs7Tc VIDEO Tutorial: CO molecule]
** [https://wiki.fysik.dtu.dk/gpaw/tutorials/plotting/plot_wave_functions.html Plotting CO wavefunction]
** [https://wiki.fysik.dtu.dk/gpaw/tutorials/plotting/plot_wave_functions.html Plotting CO wavefunction]
** relax.py used in VIDEO
** relax.py used in VIDEO Tutorial:
<pre>
<pre>
from ase import Atoms
from ase import Atoms

Revision as of 15:06, 9 November 2014

Unix Training

MATLAB Training

Hands-on tutorials by Instructor

Hands-on Lab tutorials by MathWorks

Reference

Books and notes

Implementation Tools

Python training

Using Anaconda Python on ulam

  • in order to enable the python environment provided by Anaconda you need to add the following to your ~/.bashrc:
export PATH="/opt/anaconda/1.9.2/bin:$PATH"
  • if you want to use the Accelerate and NumbaPro add-ons you'll need to request a free academic license from here and once you receive the license put it in the ~/.continuum directory in your home directory

MATLAB Scripts

Electron density in nanowires using equilibrium density matrix

DOS of 1D disordered nanowire using eigenvalues + visualization of Anderson localization of eigenfunctions

Density of states using equilibrium retarded Green function

  • dos_negf_closed.m computes DOS for finite 1D wire
  • dos_negf_open.m computes DOS for finite 1D wire attached to one or two macroscopic reservoirs
  • graphene_dos.m computes DOS for a supercell of graphene with periodic boundary conditions

Magnetic field on the lattice

Subband structure of graphene nanoribbons using tight-binding models

Quantum transport in 1D nanowires using NEGF

Tunneling magnetoresistance in tight-binding models of magnetic tunnel junctions using NEGF

  • mtj_1d.m (computes TMR of F/I/F MTJs modeled using 1D tight-binding chain)
  • mtj_3d.m (computes TMR of F/I/F MTJs modeled using mixed real space and k-space tight-binding model of 3D junctions

Quantum transport in graphene nanostructures using NEGF

Self.m, (code to compute the conductance of a finite graphene nanoribbon attached to two semi-infinite graphene electrodes)

  • M.-H. Liu and K. Richter, Efficient quantum transport simulation for bulk graphene heterojunctions, Phys. Rev. B 86, 115455 (2012). [PDF].

MATLAB functions

  • matrix_exp.m (Exponential, or any other function with small changed in the code, of a Hermitian matrix)
  • visual_graphene_H.m (For a given tight-binding Hamiltonian on the honeycomb lattice, function plots position of carbon atoms and draws blue lines to represent hoppings between them; red circles to represent on-site potential between them; and cyan lines to represent the periodic boundary conditions; it can be used to test if the tight-binding Hamiltonian of graphene is set correctly); This function calls another three function which should be placed in the same directory (or in the path): atomCoord.m, atomPosition.m, and constrainView.m
  • self_energy.m (Self-energy of the semi-infinite ideal metallic lead modeled on the square tight-binding lattice - the code shows how to convert analytical formulas of the lead surface Green function into a working program)
  • transmission.m (Transmission function for 1D tight-binding chain with spin-dependent terms)

Quantum transport simulations using KWANT package

First-principles electronic structure calculations using DFT within GPAW package

How to run GPAW on ulam

GPAW has been installed on ulam with the OS installed python 2.6.

  • in order to use the serial version of GPAW type:
 python your_gpaw_program.py
  • in order to use the parallel version of gpaw use the following syntax (replace 8 with the number of cores you want to use):
 mpirun -np 8 gpaw-python_openmpi nickel.py

Getting started with GPAW

from ase import Atoms
from ase.io import write
from ase.optimize import QuasiNewton
from gpaw import GPAW
d = 1.10  # Starting guess for the bond length
atoms = Atoms('CO', positions=((0, 0, 0),
                               (0, 0, d)), pbc=False)
atoms.center(vacuum=4.0)
write('CO.cif', atoms)
calc = GPAW(h=0.20, xc='PBE', txt='CO_relax.txt')
atoms.set_calculator(calc)
relax = QuasiNewton(atoms, trajectory='CO.traj', logfile='qn.log')
relax.run(fmax=0.05)

GPAW Exercises Related to Midterm Project

Technical Details

First-principles electronic transport calculations using NEGF+DFT within GPAW package

Zero-bias conductance

I-V curve calculations