2018
DOI: 10.1073/pnas.1718807115
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Flow-induced phase separation of active particles is controlled by boundary conditions

Abstract: Active particles, including swimming microorganisms, autophoretic colloids, and droplets, are known to self-organize into ordered structures at fluid-solid boundaries. The entrainment of particles in the attractive parts of their spontaneous flows has been postulated as a possible mechanism underlying this phenomenon. Here, combining experiments, theory, and numerical simulations, we demonstrate the validity of this flow-induced ordering mechanism in a suspension of active emulsion droplets. We show that the m… Show more

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Cited by 100 publications
(130 citation statements)
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“…To retain the relative simplicity of an axisymmetric problem, the configuration considered here is highly symmetric as only the normal approach of a single droplet to a flat wall is considered. Yet, this provides an important physical insight into the interaction and rebound dynamics, which could contribute significantly to a better understanding of experimental studies involving confined active droplets: several recent contributions have indeed suggested that the collective behaviour of many self-propelled droplets is greatly influenced by the role of confinement on their interactions [21,59]. The present analysis also provides a critically-valuable benchmark analysis for the validation of simpler models (e.g.…”
Section: Discussionmentioning
confidence: 62%
“…To retain the relative simplicity of an axisymmetric problem, the configuration considered here is highly symmetric as only the normal approach of a single droplet to a flat wall is considered. Yet, this provides an important physical insight into the interaction and rebound dynamics, which could contribute significantly to a better understanding of experimental studies involving confined active droplets: several recent contributions have indeed suggested that the collective behaviour of many self-propelled droplets is greatly influenced by the role of confinement on their interactions [21,59]. The present analysis also provides a critically-valuable benchmark analysis for the validation of simpler models (e.g.…”
Section: Discussionmentioning
confidence: 62%
“…Thanks to these generic common features, multiple interaction routes can be envisioned for this class of systems, either directly through the flow generated by the motion of one particle in the vicinity of its neighbors or through its physico-chemical signature and resulting gradients near other particles. How such long-range interaction routes compete and condition the collective dynamics of these systems as observed in experiments, and how this interplay is modified by the varying particle density or their environment are key questions, currently at the center of attention of the physical community [42][43][44].…”
Section: Introductionmentioning
confidence: 99%
“…Instead, the emergence of spontaneous dynamics stems from the nonlinear coupling of physico-chemical processes and convective transport. Beyond steady and directed selfpropulsion, active droplets may exhibit complex curling trajectories [14][15][16], random diffusive behaviour [15,17] and unsteady self-propulsion [18] at the individual level, and collective dynamics such as avoidance [19], aggregation [20,21], polar alignment [5], crystallization [22] and train formation [23].…”
mentioning
confidence: 99%