Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning
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Publication:6202135
DOI10.1016/j.jcp.2023.112555arXiv2206.10745OpenAlexW4387618874MaRDI QIDQ6202135
Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas, Unnamed Author
Publication date: 21 February 2024
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2206.10745
parametrized PDEsderivative-informed dimension reductionneural operatorsderivative learninghigh-dimensional Jacobiansparametric surrogates
Partial differential equations of mathematical physics and other areas of application (35Qxx) Miscellaneous topics in partial differential equations (35Rxx) Probabilistic methods, stochastic differential equations (65Cxx)
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