572 citations · 2.1k across the 54 of their papers we have counts for
4 papers · 2 filters
A field investigation of the friction between cross-country skis and snow
Rasmus Nes Tjørstad, Jean Rabault, Olav Gundersen +1
Cross country skiing is an interplay between the active motion of the body of the skier and the physical interaction between the surface of the skis and the snow. Friction and glid…
Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes
Pau Varela, Pol Suárez, Francisco Alcántara-Ávila +6
Deep artificial neural networks (ANNs) used together with deep reinforcement learning (DRL) are receiving growing attention due to their capabilities to control complex problems. T…
DRLinFluids -- An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM
Qiulei Wang, Lei Yan, Gang Hu +5
We propose an open-source python platform for applications of Deep Reinforcement Learning (DRL) in fluid mechanics. DRL has been widely used in optimizing decision-making in nonlin…
Comparative analysis of machine learning methods for active flow control
Fabio Pino, Lorenzo Schena, Jean Rabault +1
Machine learning frameworks such as Genetic Programming (GP) and Reinforcement Learning (RL) are gaining popularity in flow control. This work presents a comparative analysis of th…