Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE
DOI10.1137/23m160342xMaRDI QIDQ6583632
Hayden Schaeffer, Wing Tat Leung, Christian Moya, Zecheng Zhang, Guang Lin
Publication date: 6 August 2024
Published in: Multiscale Modeling \& Simulation (Search for Journal in Brave)
multiscale finite element methodmulti-fidelityneural operatordiscretization invariantneural homogenization
Computational learning theory (68Q32) Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory (78M10) Homogenization in context of PDEs; PDEs in media with periodic structure (35B27) Numerical analysis (65-XX)
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