| Evolutional deep neural network Y Du, TA Zaki Physical Review E 104 (4), 045303, 2021 | 72 | 2021 |
| Ensemble-variational assimilation of statistical data in large-eddy simulation V Mons, Y Du, TA Zaki Physical Review Fluids 6 (10), 104607, 2021 | 31 | 2021 |
| State estimation in minimal turbulent channel flow: A comparative study of 4DVar and PINN Y Du, M Wang, TA Zaki International Journal of Heat and Fluid Flow 99, 109073, 2023 | 27 | 2023 |
| RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors L Gao, Y Du, H Li, G Lin Journal of Computational Physics 461, 111205, 2022 | 9 | 2022 |
| Turbulence generation from a stochastic wavelet model Y Du, G Lin Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018 | 2 | 2018 |
| Vorticity dynamics and Josephson-Anderson relation for flow over spheroid Y Du, T Zaki Bulletin of the American Physical Society, 2023 | 1 | 2023 |
| Bayesian data-driven discovery of partial differential equations with variable coefficients A Chen, Y Du, L Gao, G Lin Available at SSRN 4747393, 2021 | 1 | 2021 |
| Vorticity dynamics in separated bluff-body flows Y Du, T Zaki Bulletin of the American Physical Society, 2024 | | 2024 |
| Evolutional deep neural networks Z Tamer, DU Yifan US Patent App. 18/278,987, 2024 | | 2024 |
| Evolutional deep neural networks for accurate Navier-Stokes solutions and forecasts of turbulence Y Du, T Zaki APS Division of Fluid Dynamics Meeting Abstracts, H18. 002, 2021 | | 2021 |
| Measurement-augmented large eddy simulations Y Du, V Mons, T Zaki APS Division of Fluid Dynamics Meeting Abstracts, G19. 004, 2019 | | 2019 |
