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Physics-informed neural networks allow the construction of state-of-the-art models of magnetic fields in active regions on the Sun in real time, enabling rapid investigation of the source
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support REFERENCES * Jarolim, R., Thalmann, J. K., Veronig, A. M. & Podladchikova, T. _Nat. Astron._ https://doi.org/10.1038/s41550-023-02030-9 (2023). Article Google Scholar *
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Article ADS Google Scholar * Cai, S. et al. _Acta Mech.Sin._ 37, 1727–1738 (2021). Article ADS MathSciNet Google Scholar Download references AUTHOR INFORMATION AUTHORS AND
AFFILIATIONS * Sydney Institute for Astronomy, School of Physics, The University of Sydney, New South Wales, Australia Michael S. Wheatland Authors * Michael S. Wheatland View author
publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Michael S. Wheatland. ETHICS DECLARATIONS COMPETING INTERESTS The author
declares no competing interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Wheatland, M.S. Real-time solar coronal modelling. _Nat Astron_ 7,
1150–1151 (2023). https://doi.org/10.1038/s41550-023-02085-8 Download citation * Published: 17 October 2023 * Issue Date: October 2023 * DOI: https://doi.org/10.1038/s41550-023-02085-8 SHARE
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