Giter Club home page Giter Club logo

fidimag's Introduction

FIDIMAG

Build Status Documentation Status codecov DOI

FIDIMAG - a FInite DIfference microMAGnetic simulation environment

Fidimag solves finite-difference micromagnetic problems and supports atomistic simulations, using Python interface.

The webpage of the project is http://computationalmodelling.github.io/fidimag/

The GitHub page of the project is https://github.com/computationalmodelling/fidimag

The documentation is available at http://fidimag.readthedocs.io/en/latest/?badge=latest. Within the documentation are details on how to install Fidimag, and some example simulations are provided.

Various options of installation are described in the documentation, mostly by compiling from source. If you decide to install from source, you will need to add the path to this file is in to your $PYTHONPATH. Check the documentation for more detailed installation help. The Virtual Micromagnetics project at http://virtualmicromagnetics.org provides virtual machines and Docker containers in which Fidimag can be executed.

The code is developed by Weiwei Wang, Marc-Antonio Bisotti, David Cortes, Thomas Kluyver, Mark Vousden, Ryan Pepper, Oliver Laslett, Rebecca Carey, and Hans Fangohr at the University of Southampton.

This is an early experimental version; contributions and pull requests to both the code and documentation are welcome.

How to cite Fidimag

David Cortés-Ortuño, Weiwei Wang, Ryan Pepper, Marc-Antonio Bisotti, Thomas Kluyver, Mark Vousden, & Hans Fangohr. (2016). Fidimag v2.0 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.167858

BibTeX:

@misc{htt​ps://doi.org/10.5281/zenodo.167858,
 doi = {10.5281/zenodo.167858},
 url = {ht​tps://doi.org/10.5281/zenodo.167858},
 author = {David Cort{\'e}s-Ortu{\~n}o and Weiwei Wang and Ryan Pepper and Marc-Antonio Bisotti and 
           Thomas Kluyver and Mark Vousden and Hans Fangohr},
 publisher = {Zenodo},
 title = {Fidimag V2.0}, 
 year = {2016}
}

Acknowledgements

We acknowledge financial support from

  • EPSRC’s Centre for Doctoral Training in Next Generation Computational Modelling, (EP/L015382/1)

  • EPSRC’s Doctoral Training Centre in Complex System Simulation (EP/G03690X/1)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.