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

Predict the Critical Temperature of a Superconductor

Simulate the magnetic response of 2D superconductors

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.

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

Numerical solver for DC Bi-SQUID/SQUID circuits.

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

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

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

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

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

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

Package for solving generalized BdG mean field theory of interacting systems.

Teaching materials of the school "Emergent phenomena in van der Waals heterostructures", TIFR 2023

Implementation of Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors