Metadata-Version: 2.1
Name: superscreen
Version: 0.2.0
Summary: SuperScreen: simulate Meissner screening in multiplanar superconducting devices.
Home-page: https://github.com/loganbvh/superscreen
Author: Logan Bishop-Van Horn
Author-email: logan.bvh@gmail.com, lbvh@stanford.edu
License: MIT
Description: 
        # SuperScreen
        
        ![GitHub Workflow Status (branch)](https://img.shields.io/github/workflow/status/loganbvh/superscreen/lint-and-test/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)
        
        SuperScreen is a package for simulating the magnetic response of multi-planar 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 references:
        
        1. Phys. Rev. B 72, 024529 (2005).
        2. Rev. Sci. Instrum. 87, 093702 (2016).
        3. Supercond. Sci. Technol. 29 (2016) 124001.
        
        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 [Binder](https://mybinder.org/):
        
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/loganbvh/superscreen/HEAD?filepath=docs%2Fnotebooks)
        
        (Note: Binder instances are [limited to 2 GB of memory](https://mybinder.readthedocs.io/en/latest/about/about.html#how-much-memory-am-i-given-when-using-binder), so you can only solve relatively small models online.)
        
Keywords: superconductor meissner screening
Platform: Linux
Platform: Mac OSX
Platform: Unix
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6, <3.10
Description-Content-Type: text/markdown
Provides-Extra: docs
