Gradient-annihilated PINNs for solving Riemann problems: application to relativistic hydrodynamics

DOI10.1016/J.CMA.2024.116906MaRDI QIDQ6494081

Alejandro Torres-Forné, Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Roberto Ruiz de Austri-Bazan, Unnamed Author

Publication date: 29 April 2024

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

zbMATH Keywords

neural networksEuler equationsRiemann problemmachine learningrelativistic hydrodynamics

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Partial differential equations (35-XX)

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