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PyGibbs is a numerical library for simulations of field theories in Python.

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![Imagel](https://raw.githubusercontent.com/rajeshrinet/pygibbs/master/examples/banner.jpg)

## PyGibbs: Field theoretic simulations in Python [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/rajeshrinet/pygibbs/master?filepath=examples) ![Installation](https://github.com/rajeshrinet/pygibbs/workflows/Installation/badge.svg) ![Notebooks](https://github.com/rajeshrinet/pygibbs/workflows/Notebooks/badge.svg) [![Documentation Status](https://readthedocs.org/projects/pygibbs/badge/?version=latest)](https://pygibbs.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/pygibbs.svg)](https://badge.fury.io/py/pygibbs) [![Downloads](https://pepy.tech/badge/pygibbs)](https://pepy.tech/project/pygibbs) ![License](https://img.shields.io/github/license/rajeshrinet/pygibbs)

[About](#about) | [Documentation](https://pygibbs.readthedocs.io/en/latest/) | [News](#news) | [Installation](#installation) | [Examples](#examples) | [Publications ](#publications)| [Support](#support) | [License](#license)

## About [PyGibbs](https://github.com/rajeshrinet/pygibbs) is a numerical library for simulations of field theories in Python. The library constructs differentiation matrices using finite-difference and spectral methods. It also allows to solve Stokes equation using a spectral method, which satisfies compressibility exactly. The library currently offers support for doing field theoretical simulation and a direct numerical simulation of the Stokes equation (implementation for non-zero Reynolds number is planned) in both two and three space dimensions.

## News * Our paper has been highlighted in the Journal Club for Condensed Matter Physics with a [commentary](https://doi.org/10.36471/JCCM_March_2020_01).

## Installation Clone (or download) the repository and use a terminal to install using

` >> git clone https://github.com/rajeshrinet/pygibbs.git >> cd pygibbs >> pip install -r requirements.txt >> python setup.py install `

PyGibbs requires the following software

## Pip Alternatively install latest PyPI version

` >> pip install pygibbs `

## Examples

See the [examples folder](https://github.com/rajeshrinet/pygibbs/tree/master/examples) for a list of examples.

## Publications * [Hydrodynamically interrupted droplet growth in scalar active matter](https://doi.org/10.1103/PhysRevLett.123.148005). Rajesh Singh and Michael E. Cates. Phys. Rev. Lett. 123, 148005 (2019).

  • [Self-propulsion of active droplets without liquid-crystalline order](https://arxiv.org/abs/2004.06064). Rajesh Singh, Elsen Tjhung, and Michael E. Cates. arXiv:2004.06064.

## Support Please use the [issue tracker](https://github.com/rajeshrinet/pygibbs/issues) on GitHub.

## License We believe that openness and sharing improves the practice of science and increases the reach of its benefits. This code is released under the [MIT license](http://opensource.org/licenses/MIT). Our choice is guided by the excellent article on [Licensing for the scientist-programmer](http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002598).

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