Skip to main content

OOMMF calculator.

Project description

oommfc

Marijan Beg1,2, Martin Lang1, Ryan A. Pepper1, Thomas Kluyver2, 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

Description Badge
Tests workflow
conda
Releases PyPI version
Anaconda-Server Badge
Coverage codecov
Documentation Documentation Status
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

oommfc is a Python package providing:

  • An Object Oriented MicroMagnetic Framework OOMMF calculator for computational magnetism models defined with micromagneticmodel.

It is available on Windows, MacOS, and Linux. It requires Python 3.8+.

Documentation

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.

Binder

This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.

YouTube

YouTube video tutorials are available on the Ubermag channel.

Support

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.

Contributions

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.

Contributors:

  • Mark Vousden (@mvousden), University of Southampton, United Kingdom
  • Sergii Mamedov (@sergii-mamedov), European XFEL, Germany
  • Rebecca Carey (@rlc2v07), University of Southampton, United Kingdom
  • Marc-Antonio Bisotti (@logicabrity), University of Southampton, United Kingdom
  • Vanessa Nehruji (@vanessanehruji), University of Southampton, United Kingdom

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

  1. 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).

  2. M. Beg, M. Lang, R. A. Pepper, T. Kluyver, and H. Fangohr. oommfc: OOMMF calculator. DOI: 10.5281/zenodo.3539494 (2021).

Acknowledgements

  • OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme Grant on Skyrmionics (EP/N032128/1)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oommfc-0.10.tar.gz (24.0 kB view details)

Uploaded Source

Built Distribution

oommfc-0.10-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file oommfc-0.10.tar.gz.

File metadata

  • Download URL: oommfc-0.10.tar.gz
  • Upload date:
  • Size: 24.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for oommfc-0.10.tar.gz
Algorithm Hash digest
SHA256 999b908429e6316e52b2466de349e772bd43b025548c58016233c95a51c63bb8
MD5 1c26a1e0dd2e0381e6e722c82d565842
BLAKE2b-256 db000f463cb66634b72df0c2b73ced5fedf17d1549a1e91bc57555ef0fe2fb8a

See more details on using hashes here.

File details

Details for the file oommfc-0.10-py3-none-any.whl.

File metadata

  • Download URL: oommfc-0.10-py3-none-any.whl
  • Upload date:
  • Size: 30.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for oommfc-0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 f5b5141011da3d914e0c2e140fec4b82ccd638953dbc42f5a221aa8846261d24
MD5 ebb99f2b5ff05d540f3f75808fcdafb1
BLAKE2b-256 27656c7eb7e746d1b40d57f57905e0a09aa0699abea9147990201150494c69a4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page