{"id":37073306,"url":"https://github.com/loganbvh/py-tdgl","last_synced_at":"2026-05-02T13:07:18.210Z","repository":{"id":65168999,"uuid":"535746543","full_name":"loganbvh/py-tdgl","owner":"loganbvh","description":"2D time-dependent Ginzburg-Landau in Python","archived":false,"fork":false,"pushed_at":"2025-03-23T14:14:09.000Z","size":79166,"stargazers_count":52,"open_issues_count":9,"forks_count":18,"subscribers_count":3,"default_branch":"main","last_synced_at":"2026-01-14T10:37:28.623Z","etag":null,"topics":["finite-element-methods","ginzburg-landau","superconductivity"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/loganbvh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-09-12T16:06:00.000Z","updated_at":"2025-12-12T10:19:15.000Z","dependencies_parsed_at":"2023-09-22T04:41:27.358Z","dependency_job_id":"5d63a6c4-296c-4124-9ec7-c51fecff5311","html_url":"https://github.com/loganbvh/py-tdgl","commit_stats":{"total_commits":277,"total_committers":4,"mean_commits":69.25,"dds":"0.010830324909747335","last_synced_commit":"332daac7fc4315f830a3dc8aa2e0404c1069f066"},"previous_names":[],"tags_count":19,"template":false,"template_full_name":null,"purl":"pkg:github/loganbvh/py-tdgl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loganbvh%2Fpy-tdgl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loganbvh%2Fpy-tdgl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loganbvh%2Fpy-tdgl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loganbvh%2Fpy-tdgl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/loganbvh","download_url":"https://codeload.github.com/loganbvh/py-tdgl/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loganbvh%2Fpy-tdgl/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32535004,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T12:25:33.646Z","status":"ssl_error","status_checked_at":"2026-05-02T12:24:51.733Z","response_time":132,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["finite-element-methods","ginzburg-landau","superconductivity"],"created_at":"2026-01-14T08:36:17.539Z","updated_at":"2026-05-02T13:07:18.204Z","avatar_url":"https://github.com/loganbvh.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pyTDGL\n\n![pyTDGL Logo](docs/images/logo-transparent-small.png)\n\nTime-dependent Ginzburg-Landau in Python\n\n![PyPI](https://img.shields.io/pypi/v/tdgl)\n![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/loganbvh/py-tdgl/lint-and-test.yml?branch=main)\n[![Documentation Status](https://readthedocs.org/projects/py-tdgl/badge/?version=latest)](https://py-tdgl.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/loganbvh/py-tdgl/branch/main/graph/badge.svg?token=VXdxJKP6Ag)](https://codecov.io/gh/loganbvh/py-tdgl)\n![GitHub](https://img.shields.io/github/license/loganbvh/py-tdgl)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7613568.svg)](https://doi.org/10.5281/zenodo.7613568)\n\n\n\n## Motivation\n`pyTDGL` solves a 2D generalized time-dependent Ginzburg-Landau (TDGL) equation, enabling simulations of vortex and phase dynamics in thin film superconducting devices.\n\n## Learn `pyTDGL`\n\nThe documentation for `pyTDGL` can be found at [py-tdgl.readthedocs.io](https://py-tdgl.readthedocs.io/en/latest/).\n\n## Try `pyTDGL`\n\nClick the badge below to try `pyTDGL` interactively online via [Google Colab](https://colab.research.google.com/):\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/loganbvh/py-tdgl/blob/main/docs/notebooks/quickstart.ipynb)\n\n## Install `pyTDGL`\n\n`pyTDGL` requires `python` `3.9`, `3.10`, `3.11`, `3.12`, `3.13`, or `3.14`. We recommend installing `pyTDGL` in a [`conda` environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html), e.g.\n\n```bash\nconda create --name tdgl python=\"3.12\"\nconda activate tdgl\n```\n\n### Install via `pip`\n\nFrom  [PyPI](https://pypi.org/project/tdgl/), the Python Package index:\n    \n```bash\npip install tdgl\n```\n\nFrom this [GitHub repository](https://github.com/loganbvh/py-tdgl/):\n\n```bash\npip install git+https://github.com/loganbvh/py-tdgl.git\n```\n\nEditable installation:\n\n```bash\ngit clone https://github.com/loganbvh/py-tdgl.git\ncd py-tdgl\npip install -e \".[dev,docs]\"\n```\n## About `pyTDGL`\n\n### Authors\n\n- Primary author and maintainer: [@loganbvh](https://github.com/loganbvh/).\n\n### Citing `pyTDGL`\n\n`pyTDGL` is described in the following paper:\n\n\u003e*pyTDGL: Time-dependent Ginzburg-Landau in Python*, Computer Physics Communications **291**, 108799 (2023), DOI: [10.1016/j.cpc.2023.108799](https://doi.org/10.1016/j.cpc.2023.108799).\n\nIf you use `pyTDGL` in your research, please cite the paper linked above.\n\n    % BibTeX citation\n    @article{\n        Bishop-Van_Horn2023-wr,\n        title    = \"{pyTDGL}: Time-dependent {Ginzburg-Landau} in Python\",\n        author   = \"Bishop-Van Horn, Logan\",\n        journal  = \"Comput. Phys. Commun.\",\n        volume   =  291,\n        pages    = \"108799\",\n        month    =  may,\n        year     =  2023,\n        url      = \"http://dx.doi.org/10.1016/j.cpc.2023.108799\",\n        issn     = \"0010-4655\",\n        doi      = \"10.1016/j.cpc.2023.108799\"\n    }\n\n\n### Acknowledgments\n\nParts of this package have been adapted from [`SuperDetectorPy`](https://github.com/afsa/super-detector-py), a GitHub repo authored by [Mattias Jönsson](https://github.com/afsa). Both `SuperDetectorPy` and `py-tdgl` are released under the open-source MIT License. If you use either package in an academic publication or similar, please consider citing the following in addition to the `pyTDGL` paper:\n\n- Mattias Jönsson, Theory for superconducting few-photon detectors (Doctoral dissertation), KTH Royal Institute of Technology (2022) ([Link](http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312132))\n- Mattias Jönsson, Robert Vedin, Samuel Gyger, James A. Sutton, Stephan Steinhauer, Val Zwiller, Mats Wallin, Jack Lidmar, Current crowding in nanoscale superconductors within the Ginzburg-Landau model, Phys. Rev. Applied 17, 064046 (2022) ([Link](https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.17.064046))\n\nThe user interface is adapted from [`SuperScreen`](https://github.com/loganbvh/superscreen).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floganbvh%2Fpy-tdgl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Floganbvh%2Fpy-tdgl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floganbvh%2Fpy-tdgl/lists"}