Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations

DOI10.1016/j.jcp.2023.112683arXiv2303.11577OpenAlexW4389398330MaRDI QIDQ6187659

Wenqian Chen, Panos Stinis

Publication date: 31 January 2024

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

Full work available at URL: https://arxiv.org/abs/2303.11577

zbMATH Keywords

machine learningfeature spacemulti-fidelityphysics-informed

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Incompressible viscous fluids (76Dxx)

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