45 skills found · Page 1 of 2
joselado / PyqulaPython library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
joselado / Quantum LatticeUser-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.
loganbvh / Py Tdgl2D time-dependent Ginzburg-Landau in Python
loganbvh / SuperscreenSimulate the magnetic response of 2D superconductors
khamidieh / Predict TcPredict the Critical Temperature of a Superconductor
microsoft / SvirlSvirl 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.
rubenvanstaden / SpiraParameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
afsa / Super Detector PySuperDetectorPy is a program for simulating superconducting single-photon detectors.
JuDFTteam / Aiida KkrAiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.
basnijholt / Spin Orbit Nanowires📜 Code for Spin-Orbit Protection of Induced Superconductivity in Majorana Nanowires (10.1103/PhysRevLett.122.187702)
maierta / MRPAPPThe MRPA++ computer code simulates neutron scattering and superconductivity in correlated electron systems. It uses a random-phase approximation (RPA) / Bardeen-Cooper-Schrieffer (BCS) theory to predict the neutron scattering cross section of realistic multi-orbital tight-binding models with Hubbard-like electron-electron interactions for the normal and superconducting states. It can also be used to calculate the pairing interaction in these models using an RPA approximation and to predict the superconducting gap structure.
jabirali / BodgeNumerical library for working with clean superconductors in Python using the Bogoliubov-de Gennes formalism
tflovorn / ScsbzMean-field self-consistent equations for slave-boson superconductivity.
JuDFTteam / JuKKRFull-potential Korringa-Kohn-Rostoker Green function code JuKKR: All-electron DFT (repo mirror)
jabirali / GeneusSimulate general non-equilibrium superconductor/ferromagnet systems via the Usadel diffusion equation
johndeisz / Flex GeneralThis is a FORTRAN 90-based code that applies the Fluctuation Exchange Approximation (FLEX) to study superconductivity and magnetism in multiband tight-binding models.
pincher-chen / DiffCSP SC[NeurIPS 2024] The implementation for the paper "Learning Superconductivity from Ordered and Disordered Material Structures"
pincher-chen / SODNet[NeurIPS 2024] The implementation for the paper "Learning Superconductivity from Ordered and Disordered Material Structures"
aakgn / PySQIFNumerical solver for DC Bi-SQUID/SQUID circuits.
cseeg / DiSCoVeR SuperCon NOMAD SMACTComposition-based predictions for chemically novel, high-temperature superconductors.
