Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2026
The HydroGym Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, Sajeda Mokbel, Miro Gondrum +18
Modeling and controlling fluids is critical across science and engineering. Effective flow control can increase lift, reduce drag, enhance mixing, and attenuate noise, potentially…
physics.flu-dyn2024
A deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application
Esther Lagemann, Julia Roeb, Steven L. Brunton +1
The accurate quantification of wall-shear stress dynamics is of substantial importance for various applications in fundamental and applied research, spanning areas from human healt…