Capture behavior of self-propelled particles into a hexatic ordering obstacle

• Published in: Chinese physics B
• Main Authors: Li, Jing-yi, Shi, Jin-lei, Wang, Ying-ying, Pan, Jun-xing, Zhang, Jin-jun
• Format: Journal Article
• Language: English
• Published: 09.10.2024
• ISSN: 1674-1056; 2058-3834
• DOI: 10.1088/1674-1056/ad84c6

Abstract Computer simulations are utilized to investigate the dynamic behavior of self-propelled particles (SPPs) within a complex obstacle environment. The findings reveal that SPPs exhibit three distinct aggregation states within the obstacle, each contingent on specific conditions. A phase diagram outlining the aggregation states concerning self-propulsion conditions is presented. The results illustrate a transition of SPPs from a dispersion state to a transition state as persistence time increases within the obstacle. Conversely, as the driving strength increases, self-propelled particles shift towards a cluster state. A systematic exploration of the interplay between driving strength, persistence time, and matching degree on the dynamic behavior of self-propelled particles is conducted. Furthermore, an analysis is performed on the spatial distribution of SPPs along the y-axis, capture rate, maximum capture probability, and mean-square displacement. The insights gained from this research serve as valuable contributions to understanding the capture and collection of active particles.