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

doi:10.1088/1674-1056/ad84c6

中国物理B ›› 2024, Vol. 33 ›› Issue (12): 124501-124501.doi: 10.1088/1674-1056/ad84c6

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

Jing-Yi Li(李静怡), Jin-Lei Shi(石金蕾), Ying-Ying Wang(王英英), Jun-Xing Pan(潘俊星)†, and Jin-Jun Zhang(张进军)‡

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

收稿日期:2024-07-15 修回日期:2024-09-10 接受日期:2024-10-09 发布日期:2024-11-12
通讯作者: Jun-Xing Pan, Jin-Jun Zhang E-mail:panjx@sxnu.edu.cn;zhangjinjun@sxnu.edu.cn
基金资助:
Project supported by the Natural Science Foundation of Shanxi Province, China (Grant Nos. 202303021212148 and 202103021223245).

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

Jing-Yi Li(李静怡), Jin-Lei Shi(石金蕾), Ying-Ying Wang(王英英), Jun-Xing Pan(潘俊星)†, and Jin-Jun Zhang(张进军)‡

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

Received:2024-07-15 Revised:2024-09-10 Accepted:2024-10-09 Published:2024-11-12
Contact: Jun-Xing Pan, Jin-Jun Zhang E-mail:panjx@sxnu.edu.cn;zhangjinjun@sxnu.edu.cn
Supported by:
Project supported by the Natural Science Foundation of Shanxi Province, China (Grant Nos. 202303021212148 and 202103021223245).

摘要/Abstract

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

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.

Key words: self-propelled particles, complex obstacle, capture behavior

中图分类号: (Dynamics and kinematics of a particle and a system of particles)

45.50.-j

05.40.-a (Fluctuation phenomena, random processes, noise, and Brownian motion) 02.50.-r (Probability theory, stochastic processes, and statistics) 05.40.Jc (Brownian motion)

Jing-Yi Li(李静怡), Jin-Lei Shi(石金蕾), Ying-Ying Wang(王英英), Jun-Xing Pan(潘俊星), and Jin-Jun Zhang(张进军). Capture behavior of self-propelled particles into a hexatic ordering obstacle[J]. 中国物理B, 2024, 33(12): 124501-124501.

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

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

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