superconductivity

There are 70 repositories under superconductivity topic.

  • joselado/pyqula

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

    Language:Python9061130

  • joselado/quantum-lattice

    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.

    Language:Python565311

  • loganbvh/py-tdgl

    2D time-dependent Ginzburg-Landau in Python

    Language:Python3723213

  • khamidieh/predict_tc

    Predict the Critical Temperature of a Superconductor

    Language:R272013

  • loganbvh/superscreen

    Simulate the magnetic response of 2D superconductors

    Language:Python244114

  • microsoft/svirl

    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.

    Language:Python226610

  • JuDFTteam/aiida-kkr

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

    Language:Python1458410

  • rubenvanstaden/spira

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

    Language:Python144610

  • afsa/super-detector-py

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

    Language:Python13112

  • cseeg/DiSCoVeR-SuperCon-NOMAD-SMACT

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

    Language:Jupyter Notebook9222

  • aakgn/PySQIF

    Numerical solver for DC Bi-SQUID/SQUID circuits.

    Language:Python81321

  • maiani/mepgl

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

    Language:Cuda8100

  • Anjishnubose/MeanFieldToolkit.jl

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

    Language:Julia7122

  • cometscome/RSCG

    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

    Language:Python7202

  • jabirali/geneus

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

    Language:Fortran7302

  • JuDFTteam/JuKKR

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

    Language:Fortran7603

  • jabirali/bodge

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

    Language:Python6241

  • jabirali/usadel

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

    Language:MATLAB6201

  • joselado/emergent_phenomena_in_van_der_Waals_school_tifr_2023

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

    Language:Jupyter Notebook6103

  • loganbvh/SdHAnalysis

    Data processing pipeline for analysis of Shubnikov de Haas oscillations

    Language:Jupyter Notebook6303

  • sdkyuanpanda/SuperDiff

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

    Language:Jupyter Notebook6101

  • g-kimbell/Superconducting-junction-tunnelling-Hamiltonian

    Model of superconducting junctions using tunnelling Hamiltonian Green functions

    Language:MATLAB5101
  • ebmb

    janberges/ebmb

    Solve multiband Eliashberg equations

    Language:Fortran5101

  • maiani/pyusadel

    Usadel equation solver in python

    Language:Mathematica5101

  • PaulWorm/DGApy

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

    Language:Jupyter Notebook5100

  • RajeevAtla/SuperconGAN

    Training a GAN using superconductivity data

    Language:TeX5120

  • zhcui/cuprate_parent_state_data

    Data repository for paper https://arxiv.org/abs/2112.09735

    Language:Python5101

  • basnijholt/majorana-nanowire-conductance

    Simulate a 1D nanowire and plot the conductance and band structure

    Language:Jupyter Notebook4302

  • bkb3/Spontaneous-symmetry-breaking

    A demonstration of spontaneous symmetry breaking by using Higgs potential/Mexican hat potential.

    Language:Mathematica4204

  • LorenzoMinutolo/GPU_SDR

    This project enable the readout of superconductive resonators using Ettus® USRP SDR platforms and Nvidia® GPUs. The goal of the project is to allow users to modify and customize every aspect of the data acquisition: from the realtime signal generation and demodulation to the analysis techniques.

    Language:HTML4162

  • moler-group/scanning-squid

    Scanning SQUID measurement and control.

    Language:Python4302

  • Josh-Fontes/Principal-Component-Regression-Superconductors

    A research paper detailing the model building process of principal component regression using mathematical notation and a demonstration using the superconductivity dataset from the UCI machine learning repository.

    Language:Jupyter Notebook3100

  • moler-group/pyrpl-squid

    SQUID flux feedback with Red Pitaya FPGA.

    Language:Python3312

  • AlicePagano/APL-Project-Superconductor-Critical-Temperature

    Measurement of the critical temperature of a superconductor via resistance measurements

    Language:Jupyter Notebook2200

  • jfraxanet/Loc_LR_Kitaev_AAH

    This repository contains the code for the paper "Localization and multifractal properties of the long-range Kitaev chain in the presence of an Aubry-André-Harper modulation".

    Language:Jupyter Notebook2201

  • Songyosk/SuperconductivityML

    Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors

    Language:Python2100