166 citations · 233 across the 5 of their papers we have counts for
5 papers
Simulation of magnetic hyperthermia cancer treatment near a blood vessel
Qian Jiang, Feng Ren, Chenglei Wang +6
In this study, we conduct a study on magnetic hyperthermia treatment when a vessel is located near the tumor. The holistic framework is established to solve the process of tumor tr…
Simulation of tumor ablation in hyperthermia cancer treatment: A parametric study
Qian Jiang, Feng Ren, Chenglei Wang +6
A holistic simulation framework is established on magnetic hyperthermia modeling to solve the treatment process of tumor, which is surrounded by a healthy tissue block. The interst…
Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth
Feng Ren, Hui Tang
We propose a novel active-flow-control (AFC) strategy for bluff bodies to hide their hydrodynamic traces from predators. A group of windward-suction-leeward-blowing (WSLB) actuator…
Applying deep reinforcement learning to active flow control in turbulent conditions
Feng Ren, Jean Rabault, Hui Tang
Machine learning has recently become a promising technique in fluid mechanics, especially for active flow control (AFC) applications. A recent work [J. Fluid Mech. (2019), vol. 865…
Deep Reinforcement Learning in Fluid Mechanics: a promising method for both Active Flow Control and Shape Optimization
Jean Rabault, Feng Ren, Wei Zhang +2
In recent years, Artificial Neural Networks (ANNs) and Deep Learning have become increasingly popular across a wide range of scientific and technical fields, including Fluid Mechan…