Physics-informed deep learning for computational elastodynamics without labeled data C Rao, H Sun, Y Liu Journal of Engineering Mechanics 147 (8), 04021043, 2021 | 304 | 2021 |
Physics-informed deep learning for incompressible laminar flows C Rao, H Sun, Y Liu Theoretical and Applied Mechanics Letters 10 (3), 207-212, 2020 | 288 | 2020 |
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization C Rao, Y Liu Computational Materials Science 184, 109850, 2020 | 269 | 2020 |
PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs P Ren, C Rao, Y Liu, JX Wang, H Sun Computer Methods in Applied Mechanics and Engineering 389, 114399, 2022 | 204 | 2022 |
Encoding physics to learn reaction–diffusion processes C Rao, P Ren, Q Wang, O Buyukozturk, H Sun, Y Liu Nature Machine Intelligence 5 (7), 765-779, 2023 | 90 | 2023 |
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain P Ren, C Rao, S Chen, JX Wang, H Sun, Y Liu Computer Physics Communications 295, 109010, 2024 | 45 | 2024 |
PhySR: Physics-informed deep super-resolution for spatiotemporal data P Ren, C Rao, Y Liu, Z Ma, Q Wang, JX Wang, H Sun Journal of Computational Physics 492, 112438, 2023 | 43 | 2023 |
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning C Rao, P Ren, Y Liu, H Sun International Conference on Learning Representations (ICLR) 2022, 2022 | 33 | 2022 |
Numerical study of the wave-induced slamming force on the elastic plate based on MPS-FEM coupled method C Rao, D Wan Journal of Hydrodynamics 30 (1), 70-78, 2018 | 28 | 2018 |
Hard Encoding of Physics for Learning Spatiotemporal Dynamics C Rao, H Sun, Y Liu ICLR Workshop on Deep Learning for Simulation, 1-10, 2021 | 21 | 2021 |
Numerical simulation of the solitary wave interacting with an elastic structure using MPS-FEM coupled method C Rao, Y Zhang, D Wan Journal of Marine Science and Application 16 (4), 395-404, 2017 | 20 | 2017 |
FSI analysis of solitary wave interacting with horizontal flexible plate by MPS-FEM method C Rao, Y Zhang, D Wan ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-17-043, 2017 | 12 | 2017 |
Numerical simulation of water entry for two-dimensional wedge by MPS X Chen, C Rao, D Wan Chin. J. Comput. Mech 34 (3), 356-362, 2017 | 11 | 2017 |
Embedding physics to learn spatiotemporal dynamics from sparse data C Rao, H Sun, Y Liu arXiv preprint arXiv:2106.04781, 2021 | 7 | 2021 |
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain P Ren, C Rao, H Sun, Y Liu arXiv preprint arXiv:2305.05150, 2023 | 6 | 2023 |
Numerical study of solitary wave slamming on a 3-D flexible plate by MPS-FEM Coupled Method G Zhang, C Rao, D Wan ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-18-036, 2018 | 2 | 2018 |
Investigation of Interaction between Solitary Wave and Horizontal Plate based on MPS-FEM Coupled Method C Rao, D Wan Advances of Smoothed Particle Hydrodynamics: The Proceedings of the 2017 …, 2017 | 1 | 2017 |
Baking Physics into Deep Learning for Modeling Scientific Problems C Rao Northeastern University, 2021 | | 2021 |
Numerical study of floating body motion under regular waves by MPS method C Rao, D Wan Proceedings of the Second Conference of Global Chinese Scholars on Hydrodynamics, 2016 | | 2016 |