Numerical simulation projects in micromagnetics with Jupyter
Numerical simulation projects in micromagnetics with Jupyter
We report a case study where an existing materials science course was modified to include numerical simulation projects on the micromagnetic behavior of materials. The Ubermag micromagnetic simulation software package is used in order to solve problems computationally. The simulation software is controlled through the Python code in Jupyter notebooks. Our experience is that the self-paced problem-solving nature of the project work can facilitate a better in-depth exploration of the course contents. We discuss which aspects of the Ubermag and the project Jupyter ecosystem have been beneficial for the students' learning experience and which could be transferred to similar teaching activities in other subject areas.
794-800
Lonsky, Martin
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Lang, Martin
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Holt, Samuel
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Pathak, Swapneel Amit
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Klause, Robin
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Lo, Tzu-Hsiang
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Beg, Marijan
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Hoffmann, Axel
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Fangohr, Hans
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1 October 2024
Lonsky, Martin
a2308f64-3738-4eb3-bd9a-8a3f61dc5a60
Lang, Martin
4b5ae654-6a58-4c2c-a116-87161fcd533d
Holt, Samuel
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Pathak, Swapneel Amit
3ca2b973-dd1a-4d56-bb5f-6b32230fe6a0
Klause, Robin
7197129a-9602-4445-998c-0e064c81cf88
Lo, Tzu-Hsiang
f6bd100c-a916-49f2-a826-77873ff27032
Beg, Marijan
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Hoffmann, Axel
ab22bb16-a0d0-42f6-98b8-2ce8134bbc05
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Lonsky, Martin, Lang, Martin, Holt, Samuel, Pathak, Swapneel Amit, Klause, Robin, Lo, Tzu-Hsiang, Beg, Marijan, Hoffmann, Axel and Fangohr, Hans
(2024)
Numerical simulation projects in micromagnetics with Jupyter.
American Journal of Physics, 92 (10), .
(doi:10.1119/5.0149038).
Abstract
We report a case study where an existing materials science course was modified to include numerical simulation projects on the micromagnetic behavior of materials. The Ubermag micromagnetic simulation software package is used in order to solve problems computationally. The simulation software is controlled through the Python code in Jupyter notebooks. Our experience is that the self-paced problem-solving nature of the project work can facilitate a better in-depth exploration of the course contents. We discuss which aspects of the Ubermag and the project Jupyter ecosystem have been beneficial for the students' learning experience and which could be transferred to similar teaching activities in other subject areas.
Text
794_1_5.0149038
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Accepted/In Press date: 15 July 2024
Published date: 1 October 2024
Identifiers
Local EPrints ID: 507800
URI: http://eprints.soton.ac.uk/id/eprint/507800
ISSN: 0002-9505
PURE UUID: 1d981a89-166e-4730-ab58-707898620d2d
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Date deposited: 06 Jan 2026 17:51
Last modified: 08 Jan 2026 02:37
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Contributors
Author:
Martin Lonsky
Author:
Martin Lang
Author:
Samuel Holt
Author:
Swapneel Amit Pathak
Author:
Robin Klause
Author:
Tzu-Hsiang Lo
Author:
Marijan Beg
Author:
Axel Hoffmann
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