106 citations · 202 across the 13 of their papers we have counts for
3 papers · 1 filter
U-net architectures for fast prediction of incompressible laminar flows
Junfeng Chen, Jonathan Viquerat, Elie Hachem
Machine learning is a popular tool that is being applied to many domains, from computer vision to natural language processing. It is not long ago that its use was extended to physi…
Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film
Vincent Belus, Jean Rabault, Jonathan Viquerat +3
Instabilities arise in a number of flow configurations. One such manifestation is the development of interfacial waves in multiphase flows, such as those observed in the falling li…
A supervised neural network for drag prediction of arbitrary 2D shapes in low Reynolds number flows
Jonathan Viquerat, Elie Hachem
Despite the significant breakthrough of neural networks in the last few years, their spreading in the field of computational fluid dynamics is very recent, and many applications re…