On physics-informed neural networks training for coupled hydro-poromechanical problems

DOI10.1016/j.jcp.2024.113299MaRDI QIDQ6615008

Caterina Millevoi, Nicolò Spiezia, Massimiliano Ferronato

Publication date: 8 October 2024

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

zbMATH Keywords

physics-informed neural networksmodel architecturedata-driven scientific computingcoupled hydro-poromechanicssensor-driven training

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)

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