Adaptive task decomposition physics-informed neural networks
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Reference46 articles.
1. Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
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3. A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics;Haghighat;Comput. Methods Appl. Mech. Eng.,2021
4. Physics-informed neural networks (PINNs) for fluid mechanics: a review;Cai;Acta Mech. Sin.,2021
5. Physics-informed neural networks for high-speed flows;Mao;Comput. Methods Appl. Mech. Eng.,2020
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