Reconstructions of Jupiter’s magnetic field using physics-informed neural networks

Livermore, P.W. orcid.org/0000-0001-7591-6716, Wu, L., Chen, L. et al. (1 more author) (2024) Reconstructions of Jupiter’s magnetic field using physics-informed neural networks. Monthly Notices of the Royal Astronomical Society, 533 (4). pp. 4058-4067. ISSN 0035-8711

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Item Type: Article
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© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: methods: numerical, planets and satellites: individual: Jupiter, planets and satellites: magnetic fields
Dates:
  • Published: October 2024
  • Published (online): 8 August 2024
  • Accepted: 6 August 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Sep 2024 12:33
Last Modified: 17 Sep 2024 12:33
Status: Published
Publisher: Oxford University Press (OUP)
Identification Number: 10.1093/mnras/stae1928
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