FluxNet: a physics-informed learning-based Riemann solver for transcritical flows with non-ideal thermodynamics

DOI10.1016/j.cma.2023.116070OpenAlexW4367674999MaRDI QIDQ6097610

Jeremy C. H. Wang, Jean-Pierre Hickey

Publication date: 6 June 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2023.116070

zbMATH Keywords

computational fluid dynamicsmachine learningRiemann solvertranscritical flowphysics-informed neural networksnon-ideal thermodynamics

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Statistical mechanics, structure of matter (82-XX)

Cites Work

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