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

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【作者】 李静怡石金蕾王英英潘俊星张进军

【Author】 Jing-Yi Li;Jin-Lei Shi;Ying-Ying Wang;Jun-Xing Pan;Jin-Jun Zhang;School of Physics and Information Engineering, Shanxi Normal University;

【通讯作者】 潘俊星;张进军;

【机构】 School of Physics and Information Engineering, Shanxi Normal University

【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.

【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 make valuable contributions to understanding the capture and collection of active particles.

【基金】 Project supported by the Natural Science Foundation of Shanxi Province, China (Grant Nos. 202303021212148 and 202103021223245)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2024年12期
  • 【分类号】O552
  • 【下载频次】5
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