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===Tunneling magnetoresistance in 1D models of magnetic tunnel junctions===
===Tunneling magnetoresistance in 1D models of magnetic tunnel junctions===
* tmr_1d.m (code to compute conductance of F/I/F junction as a function of angle between magnetizations using 1D tight-binding Hamiltonian)
* [[Media:mtj_1d.m|mtj_1d.m]] (code to compute TMR of F/I/F junction modeled using 1D tight-binding chain)


===Spin-transfer torque in 1D models of magnetic tunnel junctions===
===Spin-transfer torque in 1D models of magnetic tunnel junctions===

Revision as of 08:47, 17 November 2012

Unix Training

MATLAB Training

Hands-on tutorials by Instructor

Hands-on Lab tutorials by MathWorks

Reference

Books and notes

Implementation Tools

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 1D models of magnetic tunnel junctions

  • mtj_1d.m (code to compute TMR of F/I/F junction modeled using 1D tight-binding chain)

Spin-transfer torque in 1D models of magnetic tunnel junctions

  • stt_1d.m (code to compute in-plan torque component in F/I/F junction using 1D tight-binding Hamiltonian)

Quantum transport in graphene nanostructures using NEGF

  • 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)

DFT calculations using GPAW

GPAW Technical Details

GPAW Exercises Related to Midterm Project

Additional GPAW Exercises

NEGF-DFT electronic transport calculations using GPAW

Linear response calculations at vanishingly small voltage bias

Finite voltage bias calculations

  • I-V curve of magnetically ordered zigzag GNR
  • D. A. Areshkin and B. K. Nikolić, I-V curve signatures of nonequilibrium-driven band gap collapse in magnetically ordered zigzag graphene nanoribbon two-terminal devices, Phys. Rev. B 79, 205430 (2009). [PDF]
  • J. Chen, K. S. Thygesen, and K. W. Jacobsen, Phys. Rev. B 85, 155140 (2012). [PDF]