Emergence of Order in Chemically Active Droplets: Temporal Dynamics and Collective Behavior
Sobiya Ashraf, Pawan Kumar, Prateek Dwivedi, Fr\'ed\'eric Blanc, Dipin, Pillai, and Rahul Mangal

TL;DR
This study investigates how chemically active droplets self-organize and move collectively, revealing how their behavior changes with different Péclet numbers and providing insights into designing active matter systems.
Contribution
It demonstrates the emergence of order and collective dynamics in active droplets across varying Péclet numbers, linking chemical interactions to self-organization.
Findings
High Péclet droplets form chain-like patterns
Lower Péclet enhances repulsive interactions inhibiting clustering
Ordered structures emerge at low Péclet
Abstract
Collective behaviors such as swarming, chemical signaling, and clustering are fundamental to biological microorganisms, enabling hierarchical colony formation, coordinated motion, and enhanced nutrient accessibility crucial for their survival. Over the past few decades, extensive research has been dedicated to unraveling the mechanisms underlying these diverse collective patterns through experimental model systems. Among these, active droplets have emerged as valuable synthetic analogs, effectively replicating key biological attributes and serving as ideal platforms for investigating collective phenomena. This research explores the collective behavior of 4-Cyano-4-pentyl-biphenyl (5CB) oil droplets across varying P\'eclet () numbers. At high , droplets exhibit a pusher mode of propulsion and form dynamic chain-like patterns. Decreasing enhances repulsive interactions among…
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Taxonomy
TopicsMicro and Nano Robotics · nanoparticles nucleation surface interactions
