superconductivity
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Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
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Mar 23, 2025 - Python
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.
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Nov 19, 2024 - Python
2D time-dependent Ginzburg-Landau in Python
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Mar 23, 2025 - Python
Predict the Critical Temperature of a Superconductor
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Nov 11, 2018 - R
Simulate the magnetic response of 2D superconductors
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Jan 16, 2025 - Python
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.
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Sep 1, 2022 - Python
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
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Oct 11, 2019 - Python
AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.
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Mar 26, 2025 - Python
SuperDetectorPy is a program for simulating superconducting single-photon detectors.
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Jun 22, 2022 - Python
Simulate specific equilibrium superconductor/ferromagnet systems via the Usadel diffusion equation
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Feb 13, 2020 - MATLAB
Composition-based predictions for chemically novel, high-temperature superconductors.
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Aug 7, 2023 - Jupyter Notebook
Numerical solver for DC Bi-SQUID/SQUID circuits.
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Dec 11, 2022 - Python
Simulate general non-equilibrium superconductor/ferromagnet systems via the Usadel diffusion equation
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Feb 17, 2025 - Fortran
Implementation of gauged string method for the calculation of minimum energy path of vortex nucleation in superconductors within Ginzburg-Landau theory.
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Sep 14, 2022 - Cuda
Full-potential Korringa-Kohn-Rostoker Green function code JuKKR: All-electron DFT (repo mirror)
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May 3, 2024 - Fortran
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
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Jun 7, 2017 - Python
Package for solving generalized BdG mean field theory of interacting systems.
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Oct 21, 2024 - Julia
Numerical library for working with clean superconductors in Python using the Bogoliubov-de Gennes formalism
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Nov 19, 2024 - Python
Teaching materials of the school "Emergent phenomena in van der Waals heterostructures", TIFR 2023
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Jan 7, 2023 - Jupyter Notebook
Implementation of Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors
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Aug 14, 2024 - Jupyter Notebook
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