Pol Suárez

According to our database, Pol Suárez authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Physics-guided surrogate learning enables zero-shot control of turbulent wings.

Yuning Wang, Pol Suárez, Mathis Bode, Ricardo Vinuesa

CoRR, April, 2026

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

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

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