Metadata-Version: 2.4 Name: FiPy Version: 4.0.3 Summary: A finite volume PDE solver in Python Author: Jonathan Guyer, Daniel Wheeler, Jim Warren Project-URL: Homepage, https://github.com/usnistgov/fipy Project-URL: Issues, https://github.com/usnistgov/fipy/issues Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Console Classifier: Environment :: X11 Applications Classifier: Intended Audience :: Science/Research Classifier: Natural Language :: English Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Topic :: Scientific/Engineering :: Mathematics Classifier: Topic :: Scientific/Engineering :: Physics Classifier: Topic :: Scientific/Engineering :: Visualization Classifier: Topic :: Software Development :: Libraries :: Python Modules Requires-Python: >=3.7 Description-Content-Type: text/x-rst License-File: LICENSE.rst Requires-Dist: numpy Requires-Dist: scipy Requires-Dist: matplotlib Requires-Dist: typer Requires-Dist: typing_extensions Dynamic: license-file .. image:: https://raw.githubusercontent.com/usnistgov/fipy/master/docs/source/_static/logo.png :target: https://pages.nist.gov/fipy/en/stable :width: 110 :height: 110 :align: left | |Tests|_ |Documentation|_ |nix|_ | |GitHub|_ |PyPI|_ |CondaForge|_ |Binder|_ | |gitter|_ |OpenHub|_ - **Documentation:** https://pages.nist.gov/fipy/en/stable - **Development version of the documentation:** https://pages.nist.gov/fipy/en/latest - **Source code:** https://github.com/usnistgov/fipy - **Installation:** https://pages.nist.gov/fipy/en/latest/INSTALLATION.html - **Usage:** https://pages.nist.gov/fipy/en/latest/USAGE.html - **Examples:** https://pages.nist.gov/fipy/en/stable/EXAMPLES.html - **Support:** https://pages.nist.gov/fipy/en/stable/README.html#support - **FAQ:** https://pages.nist.gov/fipy/en/latest/FAQ.html - **Releases:** https://pages.nist.gov/fipy/en/stable/CHANGELOG.html FiPy is an object oriented, partial differential equation (PDE) solver, written in Python, based on a standard finite volume (FV) approach. The framework has been developed in the Materials Science and Engineering Division (MSED_) and Center for Theoretical and Computational Materials Science (CTCMS_), in the Material Measurement Laboratory (MML_) at the National Institute of Standards and Technology (NIST_). The solution of coupled sets of PDEs is ubiquitous to the numerical simulation of science problems. Numerous PDE solvers exist, using a variety of languages and numerical approaches. Many are proprietary, expensive and difficult to customize. As a result, scientists spend considerable resources repeatedly developing limited tools for specific problems. Our approach, combining the FV method and Python, provides a tool that is extensible, powerful and freely available. A significant advantage to Python is the existing suite of tools for array calculations, sparse matrices and data rendering. The FiPy framework includes terms for transient diffusion, convection and standard sources, enabling the solution of arbitrary combinations of coupled elliptic, hyperbolic and parabolic PDEs. Currently implemented models include phase field treatments of polycrystalline, dendritic, and electrochemical phase transformations, as well as drug eluting stents, reactive wetting. photovoltaics and a level set treatment of the electrodeposition process. .. _MML: http://www.nist.gov/mml/ .. _CTCMS: http://www.ctcms.nist.gov/ .. _MSED: http://www.nist.gov/mml/msed/ .. _NIST: http://www.nist.gov/ .. |GitHub| image:: https://img.shields.io/github/contributors/usnistgov/fipy.svg .. _GitHub: https://github.com/usnistgov/fipy .. |gitter| image:: https://badges.gitter.im/usnistgov/fipy.svg .. _gitter: https://gitter.im/usnistgov/fipy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=body_badge .. |Tests| image:: https://dev.azure.com/guyer/FiPy/_apis/build/status/usnistgov.fipy?branchName=master .. _Tests: https://dev.azure.com/guyer/FiPy/_build?definitionId=2 .. |Documentation| image:: https://github.com/usnistgov/fipy/actions/workflows/Docs4NIST.yml/badge.svg .. _Documentation: https://github.com/usnistgov/fipy/actions/workflows/Docs4NIST.yml .. |nix| image:: https://github.com/usnistgov/fipy/actions/workflows/nix.yml/badge.svg .. _nix: https://github.com/usnistgov/fipy/actions/workflows/nix.yml .. |OpenHub| image:: https://www.openhub.net/p/fipy/widgets/project_thin_badge.gif .. _OpenHub: https://www.openhub.net/p/fipy .. |PyPI| image:: https://img.shields.io/pypi/v/fipy.svg .. _PyPI: https://pypi.python.org/pypi/FiPy .. |CondaForge| image:: https://img.shields.io/conda/pn/conda-forge/fipy?label=conda-forge .. _CondaForge: https://anaconda.org/conda-forge/fipy .. |Binder| image:: https://mybinder.org/badge.svg .. _Binder: https://mybinder.org/v2/gh/usnistgov/fipy/master?filepath=examples%2Findex.ipynb