superconductivity

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

User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.

2D time-dependent Ginzburg-Landau in Python

Simulate the magnetic response of 2D superconductors

Sample PDK for Superconducting RF Quantum Circuits

Predict the Critical Temperature of a Superconductor

Svirl is GPU-accelerated solver of complex Ginzburg-Landau equations for superconductivity. It consists of time-dependent solver to describe vortex dynamics and free energy minimizer to accurately find static configurations.

Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.

SuperDetectorPy is a program for simulating superconducting single-photon detectors.

AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.

Numerical library for working with clean superconductors in Python using the Bogoliubov-de Gennes formalism

Full-potential Korringa-Kohn-Rostoker Green function code JuKKR: All-electron DFT (repo mirror)

DGApy is a python toolbox for the Matsubara Green's function formalism of correlated electrons on a lattice.

Simulate general non-equilibrium superconductor/ferromagnet systems via the Usadel diffusion equation

Composition-based predictions for chemically novel, high-temperature superconductors.

Simulate specific equilibrium superconductor/ferromagnet systems via the Usadel diffusion equation

Numerical solver for DC Bi-SQUID/SQUID circuits.

Implementation of gauged string method for the calculation of minimum energy path of vortex nucleation in superconductors within Ginzburg-Landau theory.

Object oriented package for solving self-consistent mean field theory of interacting lattice systems.

This solves the Bogoliubov-de Gennes equations and gap equations in the s-wave superconductor with the use of the Reduced-Shifted Conjugate-Gradient Method method. See, Y. Nagai, Y. Shinohara, Y. Futamura, and T. Sakurai,[arXiv:1607.03992v2 or DOI:10.7566/JPSJ.86.014708]. http://dx.doi.org/10.7566/JPSJ.86.014708