2 results for tags
transport x
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NanoTCAD ViDES
The current version of NanoTCAD ViDES is a python module, which integrates the C and Fortran subroutines already developed in the past version of the NanoTCAD ViDES simulator, which is able to simulate nanoscale devices, through the self-consistent solution of the Poisson and the Schroedinger equations, by means of the Non-Equilibrium Green’s Function (NEGF) formalism.Thu 06 Feb 2014 06:24:46 PM CET - permalink -
The module developed so far has a set of predefined functions, which allow to compute transport in:
* Graphene Nanoribbons
* Carbon Nanotubes
* Two-dimensional graphene FET
* Two-dimensional bilayer graphene FET
The user can anyway define his own device and material through the exploitation of the Hamiltonian command, which allows to define whatever material within the tight-binding approach.- http://vides.nanotcad.com/vides/
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Kwant - Quantum transport simulations made easy
Kwant is a Python package for numerical calculations on tight-binding models with a strong focus on quantum transport. It is designed to be flexible and easy to use. Thanks to the use of innovative algorithms, Kwant is often faster than other available codes, even those entirely written in the low level FORTRAN and C/C++ languages.Thu 12 Sep 2013 04:52:40 PM CEST - permalink -
Tight-binding models can describe a vast variety of systems and phenomena in quantum physics. Therefore, Kwant can be used to simulate metals, graphene, topological insulators, quantum Hall effect, superconductivity, spintronics, molecular electronics, any combination of the above, and many other things.- http://kwant-project.org/