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  Ubermag: Towards more effective micromagnetic workflows

Beg, M., Lang, M., & Fangohr, H. (2021). Ubermag: Towards more effective micromagnetic workflows. IEEE Transactions on Magnetics. doi:10.1109/TMAG.2021.3078896.

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Ubermag_Towards_more_effective_micromagnetic_workflows.pdf (Postprint), 2MB
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Ubermag_Towards_more_effective_micromagnetic_workflows.pdf
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2021
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© IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
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https://arxiv.org/abs/2105.08355 (Preprint)
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 Creators:
Beg, M.1, 2, Author
Lang, M.2, Author
Fangohr, H.2, 3, 4, Author              
Affiliations:
1Department of Earth Science and Engineering, Imperial College London, ou_persistent22              
2Faculty of Engineering and Physical Sciences, University of Southampton, ou_persistent22              
3Computational Science, Scientific Service Units, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society, ou_3267028              
4Center for Free-Electron Laser Science, ou_persistent22              

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Free keywords: Micromagnetics, Numerical models, Computational modeling, Mathematical model, Magnetization, Analytical models, Data visualization
 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.

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Language(s): eng - English
 Dates: 2021-05-11
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TMAG.2021.3078896
arXiv: 2105.08355
 Degree: -

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Project name : -
Grant ID : 676541
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE Transactions on Magnetics
  Abbreviation : IEEE Trans. Magn.
Source Genre: Journal
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Publ. Info: New York, NY : Published by the Institute of Electrical and Electronics Engineers for the Magnetics Group
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0018-9464
CoNE: https://pure.mpg.de/cone/journals/resource/954925405681