SHEN, Zaiyi; PLOURABOUÉ, Franck; LINTUVUORI, Juho; ZHANG, Hengdi; ABBASI, Mehdi; MISBAH, Chaouqi

doi:10.1103/PhysRevLett.130.014001

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SHEN, Zaiyi
Laboratoire Ondes et Matière d'Aquitaine [LOMA]

PLOURABOUÉ, Franck
Institut de mécanique des fluides de Toulouse [IMFT]

LINTUVUORI, Juho
Institut de mécanique des fluides de Toulouse [IMFT]

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Article de revue

Este ítem está publicado en

Physical Review Letters. 2023-01-06, vol. 130, n° 1, p. 014001

American Physical Society

Resumen en inglés

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.< Leer menos

Palabras clave en inglés

Fluid Dynamics

Physics of Living Systems

Polymers & Soft Matter

DOI

http://dx.doi.org/10.1103/PhysRevLett.130.014001

Proyecto ANR

Guidage des particules artificielles auto-propulsées - ANR-19-CE06-0012

Orígen

Importado de Hal

Centros de investigación

Laboratoire Ondes et Matière d'Aquitaine (LOMA) - UMR 5798