Clustering Dynamics of SiO2-Pt Active Janus Colloids
Harishwar Raman, Aniket Shivhare, Amit Kumar, Madhav Penukonda, Pawan Kumar, Karnika Singh, Akash Choudhary, Rahul Mangal

TL;DR
This study explores the formation and movement of large clusters of active SiO2-Pt Janus colloids, revealing how their dynamics and formation mechanisms change with cluster size, bridging individual behavior and collective motion.
Contribution
It provides the first detailed experimental analysis of large Janus colloid clusters up to nine particles, identifying a mechanistic transition in cluster formation from chemical to steric interactions.
Findings
Clusters move in circular trajectories.
Dynamics are predicted by constituent orientations.
Transition from chemical to steric formation mechanisms.
Abstract
Active colloid clustering is central to understanding non-equilibrium self-organization, with implications for programmable active materials and synthetic or biological assemblies. While most prior studies have focused on dimers or small aggregates, the dynamics of larger clusters remain relatively unexplored. Here, we experimentally investigate chemically active, monodisperse SiO2-Pt Janus colloid (JC) clusters as large as n=9 in a dynamic clustering regime, where clusters continuously form, dissolve, and merge as swimmer density increases. We show that clusters move in circular trajectories, and that both their translational and rotational dynamics can be predicted directly from the orientations of constituent JCs. Furthermore, we identify that their formation undergoes a mechanistic transition: while small clusters are mediated by chemical interactions, larger clusters are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicro and Nano Robotics · Pickering emulsions and particle stabilization · Nonlinear Dynamics and Pattern Formation
