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A reaction-diffusion particle model for clustering of self-propelled oil droplets on a surfactant solution

Minsoo Kim, Mamoru Okamoto, Yusuke Yasugahira, Shinpei Tanaka, Satoshi Nakata, Yasuaki Kobayashi, Masaharu Nagayama

Physica D, Nonlinear phenomena(2021)

Cited 3|Views9
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Abstract
We experimentally and numerically investigate collective behaviors of oil droplets floating on a surfactant solution in a narrow circular channel. A closed environment where a glass cover is placed on the channel shown that ethyl salicylate droplets on the surface of sodium dodecyl sulfate solution exhibit transient oscillatory dynamics, leading to the formation of a single cluster via the merging of sub-clusters. When the glass cover is removed, oscillatory behavior resumes, and the cluster breaks up. To understand these experimental findings, we introduce a mathematical model that combines equations of motion for droplets with a reaction-diffusion system, where droplet dynamics and the chemical reactions are considered on the one-dimensional surface, and the diffusion of chemicals in the air phase and the water phase is treated in the two-dimensional region. Our model successfully reproduces transient oscillations and the characteristics of cluster formation, and the effect of the glass cover. We argue that the attractive long-range interaction due to the global concentration profile of the solution suffices for the cluster formation. (C) 2021 Elsevier B.V. All rights reserved.
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Key words
Collective motion,Self-propelled particle,Reaction-diffusion particle model,Bifurcation
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