| Deconvolutional artificial neural network models for large eddy simulation of turbulence Z Yuan, C Xie, J Wang Physics of Fluids 32 (11), 2020 | 83 | 2020 |
| Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence C Xie, Z Yuan, J Wang Physics of Fluids 32 (11), 2020 | 76 | 2020 |
| Attention-enhanced neural network models for turbulence simulation W Peng, Z Yuan, J Wang Physics of Fluids 34 (2), 2022 | 45 | 2022 |
| Artificial neural network-based subgrid-scale models for large-eddy simulation of turbulence X Chenyu, Y Zelong, W Jianchun, W Minping, C Shiyi Chinese Journal of Theoretical and Applied Mechanics 53 (1), 1-16, 2021 | 41 | 2021 |
| Artificial neural network-based spatial gradient models for large-eddy simulation of turbulence Y Wang, Z Yuan, C Xie, J Wang AIP Advances 11 (5), 2021 | 35 | 2021 |
| 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 |
| Aerodynamic coefficient prediction of airfoils with convolutional neural network Z Yuan, Y Wang, Y Qiu, J Bai, G Chen The Proceedings of the 2018 Asia-Pacific International Symposium on …, 2019 | 26 | 2019 |
| Dynamic iterative approximate deconvolution models for large-eddy simulation of turbulence Z Yuan, Y Wang, C Xie, J Wang Physics of Fluids 33 (8), 2021 | 24 | 2021 |
| 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 |
| Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence Z Yuan, Y Wang, C Xie, J Wang Acta Mechanica Sinica 37 (12), 1773-1785, 2021 | 17 | 2021 |
| A dynamic spatial gradient model for the subgrid closure in large-eddy simulation of turbulence Y Wang, Z Yuan, C Xie, J Wang Physics of Fluids 33 (7), 2021 | 15 | 2021 |
| Constant-coefficient spatial gradient models for the sub-grid scale closure in large-eddy simulation of turbulence Y Wang, Z Yuan, X Wang, J Wang Physics of Fluids 34 (9), 2022 | 14 | 2022 |
| Temporally sparse data assimilation for the small-scale reconstruction of turbulence Y Wang, Z Yuan, C Xie, J Wang Physics of Fluids 34 (6), 2022 | 11 | 2022 |
| Dynamic nonlinear algebraic models with scale-similarity dynamic procedure for large-eddy simulation of turbulence Z Yuan, Y Wang, C Xie, J Wang Advances in Aerodynamics 4 (1), 16, 2022 | 11 | 2022 |
| 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 |
| Kinetic-energy-flux-constrained model using an artificial neural network for large-eddy simulation of compressible wall-bounded turbulence C Yu, Z Yuan, H Qi, J Wang, X Li, S Chen Journal of Fluid Mechanics 932, A23, 2022 | 10 | 2022 |
| Adjoint-based variational optimal mixed models for large-eddy simulation of turbulence Z Yuan, Y Wang, X Wang, J Wang Physics of Fluids 35 (7), 2023 | 8 | 2023 |
| The effect of sub-filter scale dynamics in large eddy simulation of turbulence N Chang, Z Yuan, J Wang Physics of Fluids 34 (9), 2022 | 8 | 2022 |
| Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence C Zhang, Z Yuan, L Duan, Y Wang, J Wang Physics of Fluids 34 (12), 2022 | 7 | 2022 |
| Density-unweighted subgrid-scale models for large-eddy simulations of compressible turbulence C Zhang, Z Yuan, Y Wang, R Zhang, J Wang Physics of Fluids 34 (6), 2022 | 7 | 2022 |
