High Reynolds number airfoil turbulence modeling method based on machine learning technique X Sun, W Cao, Y Liu, L Zhu, W Zhang Computers & Fluids 236, 105298, 2022 | 26 | 2022 |
Analysis on numerical stability and convergence of Reynolds averaged Navier–Stokes simulations from the perspective of coupling modes Y Liu, W Cao, W Zhang, Z Xia Physics of Fluids 34 (1), 2022 | 22 | 2022 |
Machine learning of partial differential equations from noise data W Cao, W Zhang Theoretical and Applied Mechanics Letters 13 (6), 100480, 2023 | 12 | 2023 |
FD-PINN: Frequency domain physics-informed neural network S Jiahao, C Wenbo, Z Weiwei 力学学报 55 (5), 1195-1205, 2023 | 7 | 2023 |
Data-driven and physical-based identification of partial differential equations for multivariable system W Cao, W Zhang Theoretical and Applied Mechanics Letters 12 (2), 100334, 2022 | 7 | 2022 |
Turbulence Modeling via Data Assimilation and Machine Learning for Separated Flows over Airfoils XL Shan, YL Liu, WB Cao, XX Sun, WW Zhang AIAA Journal 61 (9), 3883-3899, 2023 | 4 | 2023 |
A novel convergence enhancement method based on online dimension reduction optimization W Cao, Y Liu, X Shan, C Gao, W Zhang Physics of Fluids 35 (3), 2023 | 4 | 2023 |
TSONN: Time-stepping-oriented neural network for solving partial differential equations W Cao, W Zhang arXiv preprint arXiv:2310.16491, 2023 | 3 | 2023 |
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks J Song, W Cao, F Liao, W Zhang arXiv preprint arXiv:2401.06196, 2024 | 2 | 2024 |
A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation W Cao, J Song, W Zhang Physics of Fluids 36 (2), 2024 | 1 | 2024 |
A complete state-space solution model for inviscid flow around airfoils based on physics-informed neural networks W Cao, J Song, W Zhang arXiv preprint arXiv:2401.07203, 2024 | 1 | 2024 |
New Interpretation for error propagation of data-driven Reynolds stress closures via global stability analysis X Shan, W Cao, W Zhang arXiv preprint arXiv:2405.02622, 2024 | | 2024 |
An analysis and solution of ill-conditioning in physics-informed neural networks W Cao, W Zhang arXiv preprint arXiv:2405.01957, 2024 | | 2024 |