Divide and conquer: learning chaotic dynamical systems with multistep penalty neural ordinary differential equations

DOI10.1016/J.CMA.2024.117442MaRDI QIDQ6641946

Seung Whan Chung, Romit Maulik, Dibyajyoti Chakraborty, Troy Arcomano

Publication date: 21 November 2024

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

zbMATH Keywords

chaotic dynamical systemsscientific machine learningneural ordinary differential equations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Time series analysis of dynamical systems (37M10) Approximate trajectories (pseudotrajectories, shadowing, etc.) in smooth dynamics (37C50)

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