activity
20232026
most citedActive flow control of a turbulent separation bubble through deep reinforcement learning

13 citations · 34 across the 12 of their papers we have counts for

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2 papers · 1 filter

physics.flu-dyn2026

High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning

Ricard Montalà, Bernat Font, Oriol Lehmkuhl +2

This study investigates active flow control (AFC) of a 30P30N high-lift wing at a Reynolds number Re = 450,000 and angle of attack = 23 using wallresolved large-edd…

physics.flu-dyn2026

Leveraging unstructured grids for direct numerical simulations of wall turbulence

Amirreza Rouhi, Vishal Kumar, Wen Wu +2

Towards computational cost saving for direct numerical simulations (DNSs) of wall turbulence, we formulate an unstructured grid-generation framework, termed -grid, where the wal…