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- W4313462363 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 observe a short memory behavior from one bifurcation to the next, and the overall behavior consists in a random partition of particles, exhibiting a diffusionlike transport. On the contrary, stiff enough particles undergo a biased distribution whereby they follow a deterministic partition at bifurcations, due to long memory. This leads to a lateral ballistic drift in the network at small concentration and anomalous superdiffusion at larger concentration, even though the network is ordered. A further increase of concentration enhances particle-particle interactions which shorten the memory effect, turning the particle anomalous diffusion into a classical diffusion. We expect the drifting and diffusive regime transition to be generic for deformable particles." @default.
- W4313462363 created "2023-01-06" @default.
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- W4313462363 date "2023-01-03" @default.
- W4313462363 modified "2023-10-18" @default.
- W4313462363 title "Anomalous Diffusion of Deformable Particles in a Honeycomb Network" @default.
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- W4313462363 doi "https://doi.org/10.1103/physrevlett.130.014001" @default.
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