Cite
Optimal parallelization strategies for active flow control in deep reinforcement learning-based computational fluid dynamics.
MLA
Jia, Wang, and Hang Xu. “Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics.” Physics of Fluids, vol. 36, no. 4, Apr. 2024, pp. 1–15. EBSCOhost, https://doi.org/10.1063/5.0204237.
APA
Jia, W., & Xu, H. (2024). Optimal parallelization strategies for active flow control in deep reinforcement learning-based computational fluid dynamics. Physics of Fluids, 36(4), 1–15. https://doi.org/10.1063/5.0204237
Chicago
Jia, Wang, and Hang Xu. 2024. “Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics.” Physics of Fluids 36 (4): 1–15. doi:10.1063/5.0204237.