Physical information neural networks for 2D and 3D nonlinear Biot model and simulation on the pressure of brain

In this paper, we propose a self-adaptive algorithm of physics-informed neural networks (PINNs) for 2D and 3D linear and nonlinear Biot models, including solving the forward and inverse problems. Firstly, we apply the original PINNs algorithm to 2D and 3D linear and nonlinear Biot models. Secondly,...

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Vydané v:	Journal of computational physics Ročník 490; s. 112309
Hlavní autori:	Chen, Hao, Ge, Zhihao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2023
Predmet:	Deep learning High-dimensional problems Inverse problem Nonlinear Biot model Physics-informed neural networks Self-adaptive algorithm Deep learning Nonlinear Biot model Self-adaptive algorithm High-dimensional problems Physics-informed neural networks Inverse problem
ISSN:	0021-9991, 1090-2716
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