4 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2020★ 4 cited
Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling
Elie Hachem, Hassan Ghraieb, Jonathan Viquerat +2
This research gauges the ability of deep reinforcement learning (DRL) techniques to assist the control of conjugate heat transfer systems governed by the coupled Navier--Stokes and…
physics.flu-dyn2019★ 1 cited
Optimal transient growth in an incompressible flow past a backward-slanted step
Marco Martins Afonso, Philippe Meliga, Eric Serre
With the aim of providing a first step in the quest for a reduction of the aerodynamic drag on the rear-end of a car, we study the phenomena of separation and reattachment of an in…