Physics-informed neural networks for inverse problems in supersonic flows

DOI10.1016/j.jcp.2022.111402OpenAlexW4283321413MaRDI QIDQ2157127

Ameya D. Jagtap, Zhiping Mao, George Em. Karniadakis, Nikolaus A. Adams

Publication date: 21 July 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.11821

zbMATH Keywords

inverse problemsentropy conditionsextended physics-informed neural networkssupersonic compressible flows

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76Mxx) Artificial intelligence (68Txx) Hyperbolic equations and hyperbolic systems (35Lxx)

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