24 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning
Changxu Zhao, Dongxiao Zhao, Xin Bian +1
In dynamic flow fields, various animals exhibit remarkable odor search capabilities despite relying on stochastic detections. Interestingly, there exists an optimal time window for…
physics.flu-dyn2023★ 24 cited
Physics-informed neural networks for unsteady incompressible flows with time-dependent moving boundaries
Yongzheng Zhu, Weizhen Kong, Jian Deng +1
Physics-informed neural networks (PINNs) employed in fluid mechanics deal primarily with stationary boundaries. This hinders the capability to address a wide range of flow problems…