Drifting/Diffusive Regime Transition of Deformable Particles in a Honeycomb Network
Language
en
Article de revue
This item was published in
Physical Review Letters. 2023-01-06, vol. 130, n° 1, p. 014001
American Physical Society
English Abstract
Transport of deformable particles in a honeycomb network is studied numerically. It is shown that the particle deformability has a strong impact on their distribution in the network. For sufficiently soft particles, we ...Read more >
Transport of deformable particles in a honeycomb network is studied numerically. It is shown that the particle deformability has a strong impact on their distribution in the network. For sufficiently soft particles, we observe a short memory behavior from one bifurcation to the next, and the overall behavior consists in a random partition of particles, exhibiting a diffusion-like transport. On the contrary, stiff enough particles undergo a biased distribution whereby they follow a deterministic partition at bifurcations, leading to a lateral drift in the network. An increase of concentration enhances particle-particle interactions which shorten the memory effect, turning the particle lateral drift into an effective diffusion. We expect the drifting/diffusive regime transition to be generic for deformable particles.Read less <
English Keywords
Fluid Dynamics
Physics of Living Systems
Polymers & Soft Matter
ANR Project
Guidage des particules artificielles auto-propulsées - ANR-19-CE06-0012
Origin
Hal imported