Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs
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Publication:2060092
DOI10.1016/j.cma.2021.114199OpenAlexW3205912750WikidataQ114196872 ScholiaQ114196872MaRDI QIDQ2060092
Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas
Publication date: 13 December 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.15110
neural networksdeep learningsurrogate modelingactive subspaceparametrized PDEsderivative-informed dimension reduction
Artificial neural networks and deep learning (68T07) General nonlinear regression (62J02) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Neural nets and related approaches to inference from stochastic processes (62M45)
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