Skip to main content

Finite element micromagnetic simulation tool.

Project description

mammos-mumag

mammos-mumag is a finite-element micromagnetic simulation tool capable of simulating hysteresis loops of magnetic materials with multiple grains, developed and maintained by Thomas Schrefl at Zentrum für Modellierung und Simulation, Universität für Weiterbildung Krems.

This package allows users to use the library mammos_mumag in Python and includes some useful scripts for the use and development of mammos-mumag. On way to install the package would be to execute pip install ., but we recommend using pixi.

Description Badge
Tests Test package
Linting pre-commit.ci status
Releases PyPI version
Documentation Documentation
Binder Binder Binder2
License License
DOI DOI

Try it in the cloud

Try mammos-mumag without installing it locally by directly accessing it directly in the cloud via Binder.

Simply click the badge in the table above to get started.

Sessions are temporary and may time out after a period of inactivity, and any files created or modified during your session will not be saved. To avoid losing your work, please remember to download any files you create or edit before your session ends.

Documentation

APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.

Installation

To install mammos-mumag, you can use pip install mammos-mumag inside a Python environment. For CUDA support (Nvidia GPUs), use pip install mammos-mumag[cuda] and for ROCm support (AMD GPUs), use pip install mammos-mumag[rocm]. For more details refer to the documentation.

How to cite

TODO

Acknowledgements

This software has been supported by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101135546 MaMMoS.

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

mammos_mumag-0.10.1.tar.gz (16.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mammos_mumag-0.10.1-py3-none-any.whl (584.8 kB view details)

Uploaded Python 3

File details

Details for the file mammos_mumag-0.10.1.tar.gz.

File metadata

  • Download URL: mammos_mumag-0.10.1.tar.gz
  • Upload date:
  • Size: 16.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mammos_mumag-0.10.1.tar.gz
Algorithm Hash digest
SHA256 4ae75d7e9fea5aa6f8d5b3fb52631dadffb343683f56b889a84fea2f2fd681d7
MD5 4f58b54644b7e117165541527e203e3c
BLAKE2b-256 682cf08e4732a3554fd78d0d124e7b8d26748061ece8c1e256fa83fae43af640

See more details on using hashes here.

Provenance

The following attestation bundles were made for mammos_mumag-0.10.1.tar.gz:

Publisher: publish.yml on MaMMoS-project/mammos-mumag

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mammos_mumag-0.10.1-py3-none-any.whl.

File metadata

  • Download URL: mammos_mumag-0.10.1-py3-none-any.whl
  • Upload date:
  • Size: 584.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mammos_mumag-0.10.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6df38e9c641fd3d42507c5dae59a92209559f1f2f999a9138b9d8d58b715e997
MD5 a0ca5566a74502e1037caaa261b5a2ca
BLAKE2b-256 dc29ef000da2244f677e0186fca383bb8f7a026a78c228ab47d81b5fad369396

See more details on using hashes here.

Provenance

The following attestation bundles were made for mammos_mumag-0.10.1-py3-none-any.whl:

Publisher: publish.yml on MaMMoS-project/mammos-mumag

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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