Becton, M.; Hou, J.; Zhao, Y.; Wang, X. Dynamic Clustering and Scaling Behavior of Active Particles under Confinement. Nanomaterials2024, 14, 144.
Becton, M.; Hou, J.; Zhao, Y.; Wang, X. Dynamic Clustering and Scaling Behavior of Active Particles under Confinement. Nanomaterials 2024, 14, 144.
Becton, M.; Hou, J.; Zhao, Y.; Wang, X. Dynamic Clustering and Scaling Behavior of Active Particles under Confinement. Nanomaterials2024, 14, 144.
Becton, M.; Hou, J.; Zhao, Y.; Wang, X. Dynamic Clustering and Scaling Behavior of Active Particles under Confinement. Nanomaterials 2024, 14, 144.
Abstract
A systematic investigation of the dynamic clustering behavior of active particles under confinement, including the effects of both particle density and active driving force is presented based on a hybrid coarse-grained molecular dynamics simulation. First, a series of scaling laws were derived with power relationships for the dynamic clustering time as a function of both particle density and active driving force. Notably, the average number of clusters N ̅ assembled from active particles in the simulation system exhibits a scaling relationship with clustering time t described by N ̅∝t^(-m). Simultaneously, the scaling behavior of the average cluster size S ̅ is characterized by S ̅∝t^m. Our findings reveals the presence of up to four distinct dynamic regions concerning clustering over time, with transitions contingent upon the particle density within the system. Furthermore, as the active driving force increases, the aggregation behavior also accelerates, while an increase in density of active particles induce alterations in the dynamic procession of the system.
Keywords
active particles; simulation; aggregation; confined environment
Subject
Physical Sciences, Particle and Field Physics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
