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

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Capture behavior of self-propelled particles into a hexatic ordering obstacle
Computer simulations are utilized to investigate the dynamic behavior of self-propelled particles(SPPs)within a com-plex 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 in-creases 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 make valuable contributions to understanding the capture and collection of active particles.

self-propelled particlescomplex obstaclecapture behavior

李静怡、石金蕾、王英英、潘俊星、张进军

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School of Physics and Information Engineering,Shanxi Normal University,Taiyuan 030032,China

self-propelled particles complex obstacle capture behavior

2024

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子:0.995
ISSN:1674-1056
年,卷(期):2024.33(12)