A Review of Physics Informed Neural Networks for Multiscale Analysis and Inverse Problems
Author:
Funder
the National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42493-024-00106-w.pdf
Reference85 articles.
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3. O. Fuks, H.A. Tchelepi, Limitations of physics informed machine learning for nonlinear two-phase transport in porous media. J. Mach. Learn. Model. Comput. 1(1), 19–37 (2020). https://doi.org/10.1615/JMachLearnModelComput.2020033905
4. T.G. Grossmann, U.J. Komorowska, J. Latz, C.-B. Schönlieb, Can physics-informed neural networks beat the finite element method? arXiv:2302.04107 (2023)
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