Learning of viscosity functions in rarefied gas flows with physics-informed neural networks

DOI10.1016/J.COMPFLUID.2023.106114arXiv2305.06222OpenAlexW4388536897MaRDI QIDQ6128005

Andrea Montessori, Jean-Michel Tucny, Sauro Succi, Mihir Durve

Publication date: 15 April 2024

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2305.06222

zbMATH Keywords

inverse problemeffective viscosityrarefied gas flowphysics-informed neural networksconstitutive relationship

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

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