| Fourier neural operator approach to large eddy simulation of three-dimensional turbulence Z Li, W Peng, Z Yuan, J Wang Theoretical and Applied Mechanics Letters 12 (6), 100389, 2022 | 33 | 2022 |
| Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence W Peng, Z Yuan, Z Li, J Wang Physics of Fluids 35 (1), 2023 | 18 | 2023 |
| Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator Z Li, W Peng, Z Yuan, J Wang Physics of Fluids 35 (7), 2023 | 10 | 2023 |
| Modeling long-term large-scale dynamics of turbulence by implicit U-Net enhanced Fourier neural operator Z Li, W Peng, Z Yuan, J Wang arXiv preprint arXiv:2305.10215, 2023 | 2 | 2023 |
| Manufacturing Process Impacts on Occupational Health: a Machine Learning Framework A Caggiano, R Grant, C Peng, Z Li, A Simeone Procedia CIRP 112, 561-566, 2022 | 2 | 2022 |
| Fourier neural operator for large eddy simulation of compressible Rayleigh-Taylor turbulence T Luo, Z Li, Z Yuan, W Peng, T Liu, J Wang arXiv preprint arXiv:2404.05834, 2024 | | 2024 |
| A transformer-based neural operator for large-eddy simulation of turbulence Z Li, T Liu, W Peng, Z Yuan, J Wang arXiv preprint arXiv:2403.16026, 2024 | | 2024 |
| Prediction of turbulent channel flow using Fourier neural operator-based machine-learning strategy Y Wang, Z Li, Z Yuan, W Peng, T Liu, J Wang arXiv preprint arXiv:2403.03051, 2024 | | 2024 |
Jianchun WangSouthern University of Science and Technology, Shenzhen, ChinaVerified email at sustech.edu.cn
