Bernat Font

According to our database, Bernat Font authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Ricard Montalà, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez

CoRR, May, 2026

2025

Can Explicit Subgrid Models Enhance Implicit LES Simulations? A GPU-Oriented High-Order-Solver Perspective.

Gonzalo Rubio, Gerasimos Ntoukas, Miguel Chávez-Modena, Oscar A. Mariño, Bernat Font, Oriol Lehmkuhl, Eusebio Valero, Esteban Ferrer

CoRR, December, 2025

Deep Reinforcement Learning in Action: Real-Time Control of Vortex-Induced Vibrations.

Hussam Sababha, Bernat Font, Mohammed Daqaq

CoRR, September, 2025

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000.

Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez

CoRR, September, 2025

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning.

Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez

CoRR, September, 2025

Mesh-free sparse identification of nonlinear dynamics.

Mars Liyao Gao, J. Nathan Kutz, Bernat Font

CoRR, May, 2025

Deep-reinforcement-learning-based separation control in a two-dimensional airfoil.

Xavier Garcia, Arnau Miró, Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa

CoRR, February, 2025

WaterLily.jl: A differentiable and backend-agnostic Julia solver for incompressible viscous flow around dynamic bodies.

Gabriel D. Weymouth, Bernat Font

Comput. Phys. Commun., 2025

2024

Towards Active Flow Control Strategies Through Deep Reinforcement Learning.

Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ivette Rodríguez

CoRR, 2024

2023

Active flow control for three-dimensional cylinders through deep reinforcement learning.

Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa

CoRR, 2023

2021

Deep learning of the spanwise-averaged Navier-Stokes equations.

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

J. Comput. Phys., 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

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021