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README.md

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Fidimag solves finite-difference micromagnetic problems and supports atomistic simulations, using Python interface. The interface to both types of simulation is similar.
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## Features
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### Features
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* Offers LLG and LLG with spin torque terms (Zhang-Li and Sloncewski)
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* Calculations using the Nudged-Elastic-Band method to compute energy barriers.
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* Exchange, Zeeman, Demagnetising, Uniaxial Anisotropy energy classes.
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* Cubic and Hexagonal Meshes in atomistic simulations.
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* Open-source under the 2-clause BSD Licence.
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## Example
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### Example
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Here we show how to relax a nanodisk system from an initial state. We have many more examples in the [documentation](http://fidimag.readthedocs.io/en/latest/?badge=latest)!
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```python
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sim.save_vtk()
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```
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The results can be straightforwardly visualised from the outputted VTK files using programs such as Paraview:
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<img src="http://computationalmodelling.github.io/fidimag/figs/target.png" alt="Target Skyrmion State" width="200" align="centre">
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<p align="center">
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<img src="http://computationalmodelling.github.io/fidimag/figs/target.png" alt="Target Skyrmion State" width="250">
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</p>
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#### Attributions
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### Attributions
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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.
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This is an early experimental version; contributions and pull requests to both the code and documentation are welcome.
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If you use Fidimag, please cite as:
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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.167858A bib file is provided in the repository.
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#### Publications
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### Publications
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The following publications, in reverse chronological order, have used Fidimag:
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[4] [Magnon-Driven Domain-Wall Motion with the Dzyaloshinskii-Moriya Interaction](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.087203) W. Wang, M. Albert, M. Beg, M-A. Bisotti, D. Chernyshenko, D. Cortés-Ortuño, I. Hawke & H. Fangohr, Phys. Rev. Lett. 114, 087203 (2015)
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### Acknowledgements
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We acknowledge financial support from EPSRC’s Centre for Doctoral Training in Next Generation Computational Modelling (EP/L015382/1) and EPSRC’s Doctoral Training Centre in Complex System Simulation (EP/G03690X/1)

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