Machine learning approaches for the solution of the Riemann problem in fluid dynamics: a case study

DOI10.1007/s42967-023-00334-1MaRDI QIDQ6593781

M. J. Shashkov, Alexei Skurikhin, Vitaliy Gyrya, Svetlana Tokareva

Publication date: 27 August 2024

Published in: Communications on Applied Mathematics and Computation (Search for Journal in Brave)

zbMATH Keywords

Riemann problemfinite-volume methodnumerical fluxesneural network (NN)machine learning (ML)Gaussian process (GP)

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical solution of discretized equations for initial value and initial-boundary value problems involving PDEs (65M22)

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