Balance Equations for Physics-Informed Machine Learning
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Publisher
Elsevier BV
Reference44 articles.
1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;M Raissi;Journal of Computational Physics,2019
2. Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis;Z K Lawal;Big Data and Cognitive Computing,2022
3. PINNeik: Eikonal solution using physics-informed neural networks;U Waheed;Computers & Geosciences,2021
4. Estimates on the generalization error of physics-informed neural networks for appoximating a class of inverse problems for PDEs;S Mishra;IMA Journal of Analysis,2022
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