Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

Mirror of the Kwant project https://gitlab.kwant-project.org/kwant/kwant

Python package for eigenchannels, vibrations and inelastic electron transport based on SIESTA/TranSIESTA DFT

A CUDA-implementation of linear-scaling quantum transport methods

User interface to perform quantum transport calculations with non equilibrium Green's functions

Efficient construction and manipunation of tight-binding model

An open-source C++ software for efficient nanoscale quantum transport simulations

A 200-line MATLAB code for a linear-scaling quantum transport method

Python codes provides a class object to calculate quantum mechanical transmission probability across arbitrary potential barriers by using the piece wise constant method.

Numerical implementation of diagrammatic scattering theory for few-photon transport through Bose-Hubbard lattices

Calculate electrical and thermal conductance in multi-terminal settings of the quantum Hall effect. Includes an ipython GUI for demonstration.

Quantum transport for molecular junctions in python

mastering python for scientific computing

quantum transport simulations in one dimension

Non-Equilibrium Green's function approach for quantum transport

This Repo includes the conductance calculation codes and the plotting codes for the paper (arXiv: 1901.02655).

Simulation and analysis of Kapitsa-like instabilities in electron fluids. Implements hydrodynamic modeling, dispersion relation derivation, and phase diagram mapping for graphene and related materials. Inspired by P. Kapitsa’s roll waves and recent advances in quantum hydrodynamics.

This Repo includes the quality factor, conductance, wave function calculation codes in the paper (arXiv: 2111.01178).