Jeroen Mulkers1, Jonathan Leliaert1, Vanessa Nehruji2, Gary Downing2, Ryan A. Pepper2, Marijan Beg2,3, and Hans Fangohr2,3
1 DyNaMat group, Dept. Solid State Sciences, Ghent University, BE9000 Ghent, Belgium
2 Faculty of Engineering and the Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom
3 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
| Description | Badge |
|---|---|
| Latest release |  |
 |
|
| Build |  |
| Coverage |  |
| Documentation | |
| Binder |  |
| Dependencies |  |
| License |  |
mumaxc is a Python package that provides:
-
An interface to mumax3 (http://mumax.github.io)
-
Integration of mumax simulations into the Jupyter notebook
It is available on all major operating systems (Windows, macOS, Linux) and requires Python 3.5 or higher.
Documentation for mumaxc is available here, where APIs and tutorials (in the form of Jupyter notebooks) are available.
If you require support on installation or usage of mumaxc or if you want to report a problem, you are welcome to raise an issue in our ubermag/help repository.
Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.
If you use mumaxc in your research, please cite it as:
-
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).
-
A. Vansteenkiste, J. Leliaert, M. Dvornik, M. Helsen, F. Garcia-Sanchez and B. Van Waeyenberge. The design and verification of MuMax3. AIP Advances 4, 107133 (2014).
mumaxc was developed as a part of OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541).
This work was supported by the Fonds Wetenschappelijk Onderzoek (FWO-Vlaanderen) through Project No. G098917N (Jeroen Mulkers) and with a postdoctoral fellowship (Jonathan Leliaert).