MHDnet: physics-preserving learning for solving magnetohydrodynamics problems
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Publication:6646462
DOI10.4208/cicp.oa-2024-0002MaRDI QIDQ6646462
Zihao Yang, Xintong Wang, Xiao-Fei Guan, Shipeng Mao, Boya Hu
Publication date: 2 December 2024
Published in: Communications in Computational Physics (Search for Journal in Brave)
divergence-free formulationmultiscale neural networkcomplex dynamic incompressible magnetohydrodynamicslimited-memory Broyden-Fletcher-Goldfarb-Shanno methodmulti-mode embedding method
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Magnetohydrodynamics and electrohydrodynamics (76W05) Basic methods in fluid mechanics (76M99)
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