7 papers
Flow instability in Stokes layer of Carreau fluids
Mengqi Zhang, Dongdong Wan, Huanshu Tan
This study investigates the influence of shear-thinning on the instability of a prototype time-periodic flow, the Stokes layer, in Carreau fluids. The time-dependent base flow was…
A Diffuse-Interface Marangoni Instability
Xiangwei Li, Dongdong Wan, Haohao Hao +3
We investigate a novel Marangoni-induced instability that arises exclusively in diffuse fluid interfaces, absent in classical sharp-interface models. Using a validated phase-field…
Reinforcement-learning-assisted control of four-roll mills: geometric symmetry and inertial effect
Xuan Dai, Da Xu, Mengqi Zhang +1
Embedding the intrinsic symmetry of a flow system in training its machine learning algorithms has become a significant trend in the recent surge of their application in fluid mecha…
Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers
Zisong Zhou, Mengqi Zhang, Xiaojue Zhu
Deep reinforcement learning (DRL) is employed to develop control strategies for drag reduction in direct numerical simulations (DNS) of turbulent channel flows at high Reynolds num…
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning
Juncheng Jiang, Dongdong Wan, Mengqi Zhang
This paper presents a combined approach to enhancing the effectiveness of Jacobian-Free Newton-Krylov (JFNK) method by deep reinforcement learning (DRL) in identifying fixed points…
Marangoni Interfacial Instability Induced by Solute Transfer Across Liquid-Liquid Interfaces
Xiangwei Li, Dongdong Wan, Mengqi Zhang +1
This study presents analytical and numerical investigations of Marangoni interfacial instability in a two-liquid-layer system with constant solute transfer across the interface. Wh…