FLOW work published in Nature Communications

A recent paper by our FLOW colleagues and their collaborators on application of deep reinforced learning for flow control has been published in Nature Communications.

B. Font, F. Alcántara-Ávila, J. Rabault, R. Vinuesa, O. Lehmkuhl. Deep reinforcement learning for active flow control in a turbulent separation bubble. Nat Commun 16, 1422 (2025). doi.org/10.1038/s41467-025-56408-6