Physics-informed multi-LSTM networks for metamodeling of nonlinear structures
DOI10.1016/j.cma.2020.113226zbMath1506.74004arXiv2002.10253OpenAlexW3037134996MaRDI QIDQ2236167
Publication date: 22 October 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.10253
metamodelingnonlinear structuresphysics-informed deep learninglong short-term memory (LSTM)PhyLSTM\(^2\)PhyLSTM\(^3\)
Learning and adaptive systems in artificial intelligence (68T05) Numerical methods for ordinary differential equations (65L99) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10) Mathematical modeling or simulation for problems pertaining to fluid mechanics (76-10)
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