semvec/pypi-packages huggingface dataset:
superscreen 0.12.2
SuperScreen: simulate Meissner screening in 2D superconducting devices.
License: MIT
Requires Python: <3.15,>=3.8
Keywords: superconductor meissner screening


# SuperScreen

![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/loganbvh/superscreen/lint-and-test.yml?branch=main) [![Documentation Status](https://readthedocs.org/projects/superscreen/badge/?version=latest)](https://superscreen.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/loganbvh/superscreen/branch/main/graph/badge.svg?token=XW7LSY8WVD)](https://codecov.io/gh/loganbvh/superscreen) ![GitHub](https://img.shields.io/github/license/loganbvh/superscreen) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![DOI](https://zenodo.org/badge/376110557.svg)](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/):

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/loganbvh/superscreen/blob/main/docs/notebooks/quickstart.ipynb)