Separable physics-informed DeepONet: breaking the curse of dimensionality in physics-informed machine learning

DOI10.1016/j.cma.2024.117586MaRDI QIDQ6669073

Unnamed Author, Somdatta Goswami, Luis Mandl, Tim Ricken

Publication date: 22 January 2025

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

zbMATH Keywords

separation of variablesscientific machine learningphysics-informedneural operator

Mathematics Subject Classification ID

Quantum theory (81-XX) Statistical mechanics, structure of matter (82-XX)

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