Publications

• 2024

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

  Bernat Font / Francisco Alcántara-Ávila / Jean Rabault / Ricardo Vinuesa / Oriol Lehmkuhl

• 2024

  Data-driven wall modeling for LES involving non-equilibrium boundary layer effects

  Sarath Radhakrishnan / Joan Calafell / Arnau Miró / Bernat Font / Oriol Lehmkuhl

• 2022

  Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

  Pau Varela Martínez / Pol Suárez Morales / Fra Alcántara Ávila / A. Miró / Jean Rabault / Bernat Font / Luis Miguel García-Cuevas González / Oriol Lehmkuhl / Ricardo Vinuesa

• 2021

  A Data-Driven Wall-Shear Stress Model for LES Using Gradient Boosted Decision Trees

  Sarath Radhakrishnan / Lawrence Adu Gyamfi / Arnau Miró / Bernat Font / Joan Calafell / Oriol Lehmkuhl

• 2021

  Deep learning of the spanwise-averaged Navier–Stokes equations

  Bernat Font / Gabriel D. Weymouth / Vinh Tan Nguyen / Owen R. Tutty

• More publications