Ricardo Vinuesa

A new method improves prediction accuracy for chaotic systems.

This study explores active flow control around square cylinders using DRL and plasma actuators.

A study on turbulent duct flows, structures, and their interactions.

Study reveals how cylinder aspect ratio affects airflow and pollution in cities.

New methods improve control of turbulent separation bubbles for better vehicle efficiency.

Discover how machine learning aids scientific discovery across various fields.

This article explores solving inverse problems using advanced models and techniques.

Implementing multi-agent reinforcement learning to manage Rayleigh-Bénard convection.

A novel method improves subset sampling accuracy in machine learning models.

Research integrates machine learning and simulations to manage turbulent flows.

This study examines how controlling turbulence can reduce drag on aircraft wings.

Exploring how AI enhances understanding of fluid dynamics and turbulence modeling.

This study highlights new methods for efficient UAV navigation using deep reinforcement learning.

A new method enhances drone reliability and adaptability during flight.