Python-based domain-specific language for computational magnetism
Marijan Beg1,2, Martin Lang1, and Hans Fangohr1,2,3
1 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
2 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
3 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
micromagneticmodel is a Python package providing:
- Domain-specific language for computational magnetism.
It is available on Windows, MacOS, and Linux. It requires Python 3.8+.
APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.
Installation, testing, and upgrade
We recommend installation using
conda package manager. Instructions can be found in the documentation.
This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.
YouTube video tutorials are available on the Ubermag channel.
If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.
All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.
- Thomas Kluyver (@takluyver), European XFEL, Germany
- Ryan A. Pepper (@rpep), University of Southampton, United Kingdom
- Sergii Mamedov (@sergii-mamedov), European XFEL, Germany
- Natalie Downing (@gamdow), University of Southampton, United Kingdom
Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.
How to cite
M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).
M. Beg and H. Fangohr. micromagneticmodel: Python-based domain-specific language for computational magnetism. DOI: 10.5281/zenodo.3539480 (2021).
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