# SuperScreen
 [](https://superscreen.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/loganbvh/superscreen)  [](https://github.com/psf/black) [](https://zenodo.org/badge/latestdoi/376110557)
`SuperScreen` is a Python package for simulating the magnetic response of thin film superconducting devices. `SuperScreen` solves the coupled Maxwell's and London equations on a triangular mesh using a matrix inversion method described in the following paper:
>SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices, Computer Physics Communications, Volume 280, 2022, 108464 [https://doi.org/10.1016/j.cpc.2022.108464](https://doi.org/10.1016/j.cpc.2022.108464).
The accepted version of the paper can also be found on arXiv: [arXiv:2203.13388](https://doi.org/10.48550/arXiv.2203.13388). The GitHub repository accompanying the paper can be found [here](https://github.com/loganbvh/superscreen-paper).
## Learn `SuperScreen`
The documentation for `SuperScreen` can be found at [superscreen.readthedocs.io](https://superscreen.readthedocs.io/en/latest/).
## Try `SuperScreen`
Click the badge below to try `SuperScreen` interactively online via [Google Colab](https://colab.research.google.com/):
[](https://colab.research.google.com/github/loganbvh/superscreen/blob/main/docs/notebooks/quickstart.ipynb)
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"description": "\n# SuperScreen\n\n [](https://superscreen.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/loganbvh/superscreen)  [](https://github.com/psf/black) [](https://zenodo.org/badge/latestdoi/376110557)\n\n`SuperScreen` is a Python package for simulating the magnetic response of thin film superconducting devices. `SuperScreen` solves the coupled Maxwell's and London equations on a triangular mesh using a matrix inversion method described in the following paper:\n\n>SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices, Computer Physics Communications, Volume 280, 2022, 108464 [https://doi.org/10.1016/j.cpc.2022.108464](https://doi.org/10.1016/j.cpc.2022.108464).\n\nThe accepted version of the paper can also be found on arXiv: [arXiv:2203.13388](https://doi.org/10.48550/arXiv.2203.13388). The GitHub repository accompanying the paper can be found [here](https://github.com/loganbvh/superscreen-paper).\n\n## Learn `SuperScreen`\n\nThe documentation for `SuperScreen` can be found at [superscreen.readthedocs.io](https://superscreen.readthedocs.io/en/latest/).\n\n## Try `SuperScreen`\n\nClick the badge below to try `SuperScreen` interactively online via [Google Colab](https://colab.research.google.com/):\n\n[](https://colab.research.google.com/github/loganbvh/superscreen/blob/main/docs/notebooks/quickstart.ipynb)\n\n\n\n",
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