| 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 | 22 | 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 | 10 | 2023 |
| A generalized framework for integrating machine learning into computational fluid dynamics X Sun, W Cao, X Shan, Y Liu, W Zhang Journal of Computational Science 82, 102404, 2024 | 3 | 2024 |
| Modeling Reynolds stress anisotropy invariants via machine learning X Shan, X Sun, W Cao, W Zhang, Z Xia Acta Mechanica Sinica 40 (6), 323629, 2024 | 3 | 2024 |
| Solving parametric high-Reynolds-number wall-bounded turbulence around airfoils governed by Reynolds-averaged Navier–Stokes equations using time-stepping-oriented neural network W Cao, X Shan, S Tang, W Ouyang, W Zhang Physics of Fluids 37 (1), 2025 | 2 | 2025 |
| Discovery of knowledge of wall-bounded turbulence via symbolic regression ZX Yang, XL Shan, WW Zhang arXiv preprint arXiv:2406.08950, 2024 | | 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 |
