| Forecasting subcritical cylinder wakes with Fourier Neural Operators PI Renn, C Wang, S Lale, Z Li, A Anandkumar, M Gharib arXiv preprint arXiv:2301.08290, 2023 | 11 | 2023 |
| Machine learning for flow-informed aerodynamic control in turbulent wind conditions PI Renn, M Gharib Communications Engineering 1 (1), 45, 2022 | 4 | 2022 |
| Applied machine learning for prediction and control of fluid flows PIJ Renn California Institute of Technology, 2023 | | 2023 |
| Experimental application of neural operators for prediction of bluff body wakes P Renn, Z Li, C Wang, S Lale, A Anandkumar, M Gharib Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Experimental Reinforcement Learning for Control of Aerodynamic Systems P Renn, M Gharib APS Division of Fluid Dynamics Meeting Abstracts, Q27. 005, 2021 | | 2021 |
| Fan array wind tunnels: of mice and mars (and machine learning too) C Dougherty, M Veismann, A Stefan-Zavala, P Renn, M Gharib APS Division of Fluid Dynamics Meeting Abstracts, T08. 006, 2020 | | 2020 |
| Reinforcement Learning for Flow-Informed Flight Control P Renn, M Gharib APS Division of Fluid Dynamics Meeting Abstracts, W02. 003, 2020 | | 2020 |
| Dispersed Pressure Sensing for Flow Field Estimation A Mayavaram, P Renn, M Gharib APS Division of Fluid Dynamics Meeting Abstracts, T08. 010, 2020 | | 2020 |
| Fan array wind tunnels: turbulence on-demand C Dougherty, A Stefan-Zavala, P Renn, M Gharib APS Division of Fluid Dynamics Meeting Abstracts, Q20. 006, 2019 | | 2019 |
