Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
Author:
Funder
European Research Council
Fonds de recherche du Québec – Nature et technologies
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference73 articles.
1. Hidden physics models: machine learning of nonlinear partial differential equations;Raissi;J Comput Phys,2018
2. Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J Comput Phys,2019
3. Physics-informed machine learning;Karniadakis;Nat Rev Phys,2021
4. On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs;Shin,2020
5. Physics-informed neural networks (PINNs) for fluid mechanics: a review;Cai;Acta Mech Sin,2021
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