activity
20152024
most citedArtificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control

572 citations · 2.1k across the 54 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

physics.ao-ph2023★ 5 cited

NORA-Surge: A storm surge hindcast for the Norwegian Sea, the North Sea and the Barents Sea

Nils Melsom Kristensen, Paulina Tedesco, Jean Rabault +3

Knowledge about statistics for water level variations along the coast due to storm surge is important for the utilization of the coastal zone. An open and freely available storm su…

physics.flu-dyn2023

Observations of transient wave-induced mean drift profiles caused by virtual wave stresses in a two-layer system

Jan Erik H. Weber, Yiyi Whitchelo, Jon A. Pirolt +3

An experimental study of long interfacial gravity waves was conducted in a closed wave tank containing two layers of viscous immiscible fluids. The study focuses on the development…

physics.ao-ph2023

Wave Measurements using Open Source Ship Mounted Ultrasonic Altimeter and Motion Correction System during the One Ocean Expedition

Judith Thu Ølberg, Patrik Bohlinger, Øyvind Breivik +8

This study reviews the design and signal processing of ship borne ultrasonic altimeter wave measurements. The system combines a downward facing ultrasonic altimeter to capture the…

physics.ao-ph2023

Observation of wave propagation over 1,000 km into Antarctica winter pack ice

Takehiko Nose, Tomotaka Katsuno, Takuji Waseda +4

A drifting wave-ice buoy, which was configured by mounting the OpenMetBuoy on an ad hoc floating platform that we named Medusa, was deployed at the Lützow-Holm Bay (LHB) marginal i…

physics.flu-dyn2023

Optimizing Flow Control with Deep Reinforcement Learning: Plasma Actuator Placement around a Square Cylinder

Mustafa Z Yousif, Kolesova Paraskovia, Yifang Yang +5

The present study proposes an active flow control (AFC) approach based on deep reinforcement learning (DRL) to optimize the performance of multiple plasma actuators on a square cyl…

physics.flu-dyn2023★ 12 cited

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

Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró +4

This paper presents for the first time successful results of active flow control with multiple independently controlled zero-net-mass-flux synthetic jets. The jets are placed on a…