| Large-eddy simulation of an axisymmetric boundary layer on a body of revolution D Zhou, K Wang, M Wang AIAA Aviation 2020 Forum, 2989, 2020 | 26 | 2020 |
| Sensitivity analysis of wall-modeled large-eddy simulation for separated turbulent flow D Zhou, HJ Bae Journal of Computational Physics 506, 112948, 2024 | 20 | 2024 |
| Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills D Zhou, MP Whitmore, KP Griffin, HJ Bae arXiv preprint arXiv:2211.16427, 2022 | 17 | 2022 |
| Sound generation by non-synchronously oscillating rotor blades in turbomachinery D Zhou, X Wang, J Chen, X Jing, X Sun Journal of Sound and Vibration 355, 150-171, 2015 | 17 | 2015 |
| Large-eddy simulation of flow over Boeing Gaussian bump using multi-agent reinforcement learning wall model D Zhou, MP Whitmore, KP Griffin, HJ Bae AIAA Aviation 2023 Forum, 3985, 2023 | 13 | 2023 |
| Rotor aeroacoustic response to an axisymmetric turbulent boundary layer D Zhou, K Wang, M Wang Journal of Fluid Mechanics 981, A25, 2024 | 12 | 2024 |
| Beyond closure models: Learning chaotic-systems via physics-informed neural operators C Wang, J Berner, Z Li, D Zhou, J Wang, J Bae, A Anandkumar NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations …, 2024 | 11 | 2024 |
| Computational analysis of noise generation by a rotor at the rear of an axisymmetric body of revolution D Zhou, K Wang, M Wang 28th AIAA/CEAS Aeroacoustics 2022 Conference, 3090, 2022 | 11 | 2022 |
| Acoustic properties of multiple cavity resonance liner for absorbing higher-order duct modes D Zhou, X Wang, X Jing, X Sun The Journal of the Acoustical Society of America 140 (2), 1251-1267, 2016 | 10 | 2016 |
| Computation of rotor noise generation in a thick axisymmetric turbulent boundary layer D Zhou, K Wang, M Wang AIAA Aviation 2021 Forum, 2186, 2021 | 8 | 2021 |
| Wall modeling of turbulent flows with varying pressure gradients using multi-agent reinforcement learning D Zhou, HJ Bae AIAA Journal 62 (10), 3713-3727, 2024 | 7 | 2024 |
| AIAA AVIATION 2023 Forum D Zhou, MP Whitmore, KP Griffin, HJ Bae AIAA, 2023 | 5 | 2023 |
| Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows A Anandkumar, Z ZHAO, Z Li, K Hassibi, K Azizzadenesheli, J Yan, ... | 3* | 2024 |
| Wall-Pressure Fluctuations Induced by a Forward Step in a High-Reynolds-Number Turbulent Boundary Layer Y Liu, D Zhou, M Wang 30th AIAA/CEAS Aeroacoustics Conference (2024), 3392, 2024 | 3 | 2024 |
| Investigation of Sound Generation by Non-synchronously Vibrating Rotor Blades [J] D Zhou, XY Wang, J Chen, Z Hong, X Sun Acta Aeronautica et Astronautica Sinica 36 (3), 737-748, 2015 | 3 | 2015 |
| Computational analysis of noise generation by a rotor ingesting turbulent boundary layer on an axisymmetric body of revolution D Zhou University of Notre Dame, 2021 | 2 | 2021 |
| 转子叶栅非同步振荡发声特性研究 周迪， 王晓宇， 陈俊， 洪志亮， 孙晓峰 航空学报 36 (3), 737-748, 2015 | 2 | 2015 |
| SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms M Xiao, Y Wang, F Rodach, B Font, M Kurz, P Suárez, D Zhou, ... arXiv preprint arXiv:2508.00645, 2025 | 1 | 2025 |
| Integrated Gradients for Optimal Surface Pressure Sensor Placement for Lift Prediction of an Airfoil Subject to Gust SC Leung, D Zhou, HJ Bae AIAA AVIATION FORUM AND ASCEND 2024, 4148, 2024 | 1 | 2024 |
| Large-eddy simulation of turbulent flow over a body of revolution D Zhou, K Wang, M Wang APS Division of Fluid Dynamics Meeting Abstracts, G19. 001, 2019 | 1 | 2019 |
H. Jane BaeAssistant Professor, California Institute of TechnologyVerified email at caltech.edu
