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Recommendations for the article Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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visibility_off | Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations | M. Raissi, P. Perdikaris, G. Karniadakis | 2019-02-01 | J. Comput. Phys. | 7270 | 127 |
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visibility_off | Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations | M. Raissi | 2018-01-20 | J. Mach. Learn. Res. | 657 | 24 |
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visibility_off | Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations | Benwei Wu, O. Hennigh, J. Kautz, S. Choudhry, Wonmin Byeon | 2022-02-24 | ArXiv | 4 | 91 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |