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    • Active flow control of a turbulent separation bubble through deep reinforcement learning 

      Font, Bernat; Alcántara Ávila, Francisco; Rabault, Jean; Vinuesa, Ricardo; Lehmkuhl Barba, Oriol (IOP Publishing, 2024)
      Conference lecture
      Open Access
      The control efficacy of classical periodic forcing and deep reinforcement learning (DRL) is assessed for a turbulent separation bubble (TSB) at Reτ = 180 on the upstream region before separation occurs. The TSB can resemble ...
    • Data-driven wall modeling for LES involving non-equilibrium boundary layer effects 

      Radhakrishnan, Sarath; Calafell Sandiumenge, Joan; Miró Jané, Arnau; Font, Bernat; Lehmkuhl Barba, Oriol (Emerald Publishing Limited, 2024)
      Article
      Open Access
      Purpose Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in ...