Ubermag: towards more effective micromagnetic workflows
Ubermag: towards more effective micromagnetic workflows
Computational micromagnetics has become an essential tool in academia and industry to support fundamental research and the design and development of devices. Consequently, computational micromagnetics is widely used in the community, and the fraction of time researchers spend performing computational studies is growing. We focus on reducing this time by improving the interface between the numerical simulation and the researcher. We have designed and developed a human-centred research environment called Ubermag. With Ubermag, scientists can control an existing micromagnetic simulation package, such as OOMMF, from Jupyter notebooks. The complete simulation workflow, including definition, execution, and data analysis of simulation runs, can be performed within the same notebook environment. Numerical libraries, co-developed by the computational and data science community, can immediately be used for micromagnetic data analysis within this Python-based environment. By design, it is possible to extend Ubermag to drive other micromagnetic packages from the same environment.
Analytical models, Computational modeling, Data visualization, Magnetization, Mathematical model, Micromagnetics, Numerical models
Beg, Marijan
5c7cc1ff-f244-471f-b964-9f24e0628153
Lang, Martin
4b5ae654-6a58-4c2c-a116-87161fcd533d
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
11 May 2021
Beg, Marijan
5c7cc1ff-f244-471f-b964-9f24e0628153
Lang, Martin
4b5ae654-6a58-4c2c-a116-87161fcd533d
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Beg, Marijan, Lang, Martin and Fangohr, Hans
(2021)
Ubermag: towards more effective micromagnetic workflows.
IEEE Transactions on Magnetics.
(doi:10.1109/TMAG.2021.3078896).
Abstract
Computational micromagnetics has become an essential tool in academia and industry to support fundamental research and the design and development of devices. Consequently, computational micromagnetics is widely used in the community, and the fraction of time researchers spend performing computational studies is growing. We focus on reducing this time by improving the interface between the numerical simulation and the researcher. We have designed and developed a human-centred research environment called Ubermag. With Ubermag, scientists can control an existing micromagnetic simulation package, such as OOMMF, from Jupyter notebooks. The complete simulation workflow, including definition, execution, and data analysis of simulation runs, can be performed within the same notebook environment. Numerical libraries, co-developed by the computational and data science community, can immediately be used for micromagnetic data analysis within this Python-based environment. By design, it is possible to extend Ubermag to drive other micromagnetic packages from the same environment.
Text
Article - accepted manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 3 May 2021
e-pub ahead of print date: 11 May 2021
Published date: 11 May 2021
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Analytical models, Computational modeling, Data visualization, Magnetization, Mathematical model, Micromagnetics, Numerical models
Identifiers
Local EPrints ID: 449424
URI: http://eprints.soton.ac.uk/id/eprint/449424
ISSN: 0018-9464
PURE UUID: f5dc78ce-131d-44a3-a702-e5ec75108453
Catalogue record
Date deposited: 28 May 2021 16:31
Last modified: 17 Mar 2024 06:36
Export record
Altmetrics
Contributors
Author:
Marijan Beg
Author:
Martin Lang
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics