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Recommendations for the article Physics Informed Deep Learning (Part II): Data-driven Discovery 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 |
visibility_off | Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations | M. Raissi, P. Perdikaris, G. Karniadakis | 2017-11-28 | ArXiv | 751 | 127 |
visibility_off | Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations | M. Raissi | 2018-01-20 | J. Mach. Learn. Res. | 657 | 24 |
visibility_off | Understanding on Physics-Informed DeepONet | Sang-Min Lee | 2024-01-31 | Journal of the Korea Academia-Industrial cooperation Society | 0 | 0 |
visibility_off | Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations | Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu | 2021-06-02 | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | 2 | 63 |
visibility_off | Physics Informed Extreme Learning Machine (PIELM) - A rapid method for the numerical solution of partial differential equations | Vikas Dwivedi, B. Srinivasan | 2019-07-08 | ArXiv | 130 | 14 |
visibility_off | Physics-informed learning of governing equations from scarce data | Zhao Chen, Yang Liu, Hao Sun | 2020-05-05 | Nature Communications | 230 | 12 |
visibility_off | Learning data-driven discretizations for partial differential equations | Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, M. Brenner | 2018-08-15 | Proceedings of the National Academy of Sciences of the United States of America | 430 | 65 |
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 |