activity
20232025
most citedDeep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2025

Design of the wavy wall in a partially heated channel using CFD simulations and human-assisted Bayesian optimization

Piotr Kamiński, Karol Wawrzak, Yiqing Li +2

This study explores heated wavy wall shape design in channel flow using machine learning, aiming to minimize temperature variation () while limiting pressure loss (). A co…

physics.flu-dyn2025

Origin and control of pseudo-rotating spiral jets

Karol Wawrzak, Yiqing Li, Bernd R. Noack +1

Active flow control (AFC) methods for jet-type flows have been extensively explored since the 1970s. Spectacular examples demonstrating the AFC power and the beauty of fluid mechan…

physics.flu-dyn2024

Experimental jet control with Bayesian optimization and persistent data topology

Johann Moritz Reumschüssel, Yiqing Li, Philipp Maximilian zur Nedden +3

This study experimentally optimizes the mixing of a turbulent jet at with the surrounding air by targeted shear layer actuation. The forcing is composed of superposed ha…

physics.flu-dyn2024★ 1 cited

Deep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch

Lei Yan, Gang Hu, Wenli Chen +1

This paper focuses on developing a deep reinforcement learning (DRL) control strategy to mitigate aerodynamic forces acting on a three dimensional (3D) square cylinder under high R…

physics.flu-dyn2023

Jet mixing enhancement with Bayesian optimization, deep learning, and persistent data topology

Yiqing Li, Bernd R. Noack, Tianyu Wang +4

We optimize the jet mixing using large eddy simulations (LES) at a Reynolds number of . Key methodological enablers consist of Bayesian optimization, a surrogate model enhanc…