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.
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{https://doi.org/10.5281/zenodo.167858,
doi = {10.5281/zenodo.167858},
url = {https://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}
}
We acknowledge financial support from
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EPSRC’s Centre for Doctoral Training in Next Generation Computational Modelling, (EP/L015382/1)
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EPSRC’s Doctoral Training Centre in Complex System Simulation (EP/G03690X/1)