Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Reference43 articles.
1. Physics-informed machine learning;Karniadakis;Nat. Rev. Phys.,2021
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3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
4. DeepXDE: A deep learning library for solving differential equations;Lu;SIAM Rev.,2021
5. fPINNs: Fractional physics-informed neural networks;Pang;SIAM J. Sci. Comput.,2019
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