2 papers
physics.flu-dyn2026
Flow behind the Imperial Front Wing: comparison of results from volumetric PTV experiment and Nektar++ simulations
Isabella Fumarola, Alexandra I. Liosi, Parv Khurana +4
High-fidelity simulations are increasingly adopted, due to advances in computational power and methods such as Direct Numerical Simulation (DNS) and hybrid Large-Eddy Simulation (L…
physics.flu-dyn2026
Real-time reinforcement learning for turbulent state-dependent control in a bluff-body wake
Junjie Zhang, Chengwei Xia, Xianyang Jiang +2
Controlling turbulent dynamics remains a major challenge because of its chaotic, multi-scale dynamics, which strongly influence the performance of many fluid systems. Here we repor…