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19 papers · 1 filter
Retraction of levitating drops
Kindness Isukwem, Elie Hachem, Anselmo Pereira
This theoretical and numerical study focuses on the physical mechanisms driving the retraction of levitating Newtonian micrometric/millimetric/centimetric drops surrounded by air a…
Homogeneous turbophoresis of heavy inertial particles in turbulent flow
Jérémie Bec, Robin Vallée
Heavy particles suspended in turbulent flow possess inertia and are ejected from violent vortical structures by centrifugal forces. Once piled up along particle paths, this small-s…
Identification of vortex in unstructured mesh with graph neural networks
Lianfa Wang, Yvan Fournier, Jean-Francois Wald +1
Deep learning has been employed to identify flow characteristics from Computational Fluid Dynamics (CFD) databases to assist the researcher to better understand the flow field, to…
Velocity and acceleration statistics of heavy spheroidal particles in turbulence
Sofia Allende, Jeremie Bec
Non-spherical particles transported by turbulent flow have a rich dynamics that combines their translational and rotational motions. Here, the focus is on small, heavy, inertial pa…
Statistical models for the dynamics of heavy particles in turbulence
J. Bec, K. Gustavsson, B. Mehlig
When very small particles are suspended in a fluid in motion, they tend to follow the flow. How such tracer particles are mixed, transported, and dispersed by turbulent flow has be…
A review on deep reinforcement learning for fluid mechanics: an update
Jonathan Viquerat, Philippe Meliga, Elie Hachem
In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning (DRL) techniques has increased at fast pace, leading to a growing bibliog…