421 citations
- Centre National de la Recherche ScientifiqueFR163 papers
- Aix-Marseille UniversitéFR130 papers
- Centrale MéditerranéeFR113 papers
- Château GombertFR38 papers
- Université de Provence Aix-Marseille IFR15 papers
- Princeton UniversityUS10 papers
- University of California, BerkeleyUS10 papers
- Imperial College LondonGB9 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR8 papers
- École Normale Supérieure de LyonFR7 papers
- École PolytechniqueFR7 papers
- Massachusetts Institute of TechnologyUS7 papers
7 papers · 1 filter
Mixing as a correlated aggregation process
Joris Heyman, Tanguy Le Borgne, Philippe Davy +1
Mixing describes the process by which solutes evolve from an initial heterogeneous state to uniformity under the stirring action of a fluid flow. Fluid stretching forms thin scalar…
Exploring the Weber dependency of jet fragmentation: a Direct Numerical Simulation investigation
Romain Vallon, Malek Abid, Fabien Anselmet
Jet fragmentation is investigated through a Direct Numerical Simulation campaign using Basilisk (Popinet & collaborators 2013). The simulations span over one order of magnitude of…
Free surface water-waves generated by instability of an exponential shear flow
Malek Abid, Christian Kharif
The stability of an exponential current in water to infinitesimal perturbations in the presence of gravity and capillarity is investigated. Some new results on the generation of gr…
Internal shear layers in librating spherical shells: the case of attractors
Jiyang He, Benjamin Favier, Michel Rieutord +1
Following our previous work on periodic ray paths (He et al, 2022), we study asymptotically and numerically the structure of internal shear layers for very small Ekman numbers in a…
Self-gravity in thin-disc simulations of protoplanetary discs: smoothing length rectified and generalised to bi-fluids
Steven Rendon Restrepo, Pierre Barge
To mimic protoplanetary discs (PPDs) evolution, 2D simulations with self-gravity must introduce a softening prescription of the gravitational potential. When the disc is only made…
Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark
Aurore Loisy, Robin A. Heinonen
The olfactory search POMDP (partially observable Markov decision process) is a sequential decision-making problem designed to mimic the task faced by insects searching for a source…