DNN modeling of partial differential equations with incomplete data

DOI10.1016/j.jcp.2023.112502OpenAlexW4386814092MaRDI QIDQ6094765

No author found.

Publication date: 10 October 2023

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

Full work available at URL: https://doi.org/10.1016/j.jcp.2023.112502

zbMATH Keywords

incomplete datadeep neural networksdata driven modelingreduced PDE systems

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for ordinary differential equations (65Lxx) Approximation methods and numerical treatment of dynamical systems (37Mxx)

Cites Work

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• DeepXDE: A Deep Learning Library for Solving Differential Equations
• Transport, Collective Motion, and Brownian Motion

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