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作 者:Jing-Yi Li Jin-Lei Shi Ying-Ying Wang Jun-Xing Pan Jin-Jun Zhang 李静怡;石金蕾;王英英;潘俊星;张进军(School of Physics and Information Engineering,Shanxi Normal University,Taiyuan 030032,China)
机构地区:[1]School of Physics and Information Engineering,Shanxi Normal University,Taiyuan 030032,China
出 处:《Chinese Physics B》2024年第12期300-305,共6页中国物理B(英文版)
基 金:Project supported by the Natural Science Foundation of Shanxi Province,China(Grant Nos.202303021212148 and 202103021223245)。
摘 要: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 make valuable contributions to understanding the capture and collection of active particles.
关 键 词:self-propelled particles complex obstacle capture behavior
分 类 号:O552[理学—热学与物质分子运动论]
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