ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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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 |
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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.
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Received: 15 July 2024
Revised: 10 September 2024
Accepted manuscript online: 09 October 2024
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PACS:
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45.50.-j
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(Dynamics and kinematics of a particle and a system of particles)
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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02.50.-r
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(Probability theory, stochastic processes, and statistics)
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05.40.Jc
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(Brownian motion)
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Fund: Project supported by the Natural Science Foundation of Shanxi Province, China (Grant Nos. 202303021212148 and 202103021223245). |
Corresponding Authors:
Jun-Xing Pan, Jin-Jun Zhang
E-mail: panjx@sxnu.edu.cn;zhangjinjun@sxnu.edu.cn
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Cite this article:
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 2024 Chin. Phys. B 33 124501
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[1] Makris N C, Ratilal P, Jagannathan S, Gong Z, Andrews M, Bertsatos I, Godø O R, Nero R W and Jech J M 2009 Science 323 1734 [2] Becco Ch, Vandewalle N, Delcourt J and Poncin P 2006 Phys. Stat. Mech. Its Appl. 367 487 [3] Sarkar D, Gompper G and Elgeti J 2021 Commun Phys. 4 36 [4] Paxton W F, Kistler K C, Olmeda C C, Sen A, St. Angelo S K, Cao Y, Mallouk T E, Lammert P E and Crespi V H 2004 J. Am. Chem. Soc. 126 13424 [5] Bechinger C, Di Leonardo R, Löwen H, Reichhardt C, Volpe G and Volpe G 2016 Rev. Mod. Phys. 88 045006 [6] Surrey T, Nédélec F, Leibler S and Karsenti E 2001 Science 292 1167 [7] Ramaswamy S 2010 Ann. Rev. Condensed Matter Phys. 1 323 [8] Reynolds C W 1987 SIGGRAPH Comput. Graph 21 25 [9] Schweitzer F 2003 Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences (Berlin: Springer-Verlag) pp. 51-131 [10] Tailleur J and Cates M E 2008 Phys. Rev. Lett. 100 218103 [11] Cates M E and Tailleur J 2015 Annu. Rev. Condens. Matter Phys. 6 219 [12] Fily Y and Cristina Marchetti M 2012 Phys. Rev. Lett. 108 235702 [13] Stenhammar J, Tiribocchi A, Allen R J, Marenduzzo D and Cates M E 2013 Phys. Rev. Lett. 111 145702 [14] Redner G S, Hagan M F and Baskaran A 2013 Phys. Rev. Lett. 110 055701 [15] Digregorio P, Levis D, Suma A, Cugliandolo L F, Gonnella G and Pagonabarraga I 2018 Phys. Rev. Lett. 121 098003 [16] Tang Y W, Chen S Y, Bowick M J and Bi D 2024 Phys. Rev. Lett. 132 218402 [17] Peruani F, Deutsch A and Bär M 2006 Phys. Rev. E 74 030904 [18] Pilla R T and Mani E 2022 J. Phys. Condens. Matter 34 245101 [19] Son K, Choe Y, Kwon E, Rigon L G, Baek Y and Kim H Y 2024 Soft Matter 20 2777 [20] Fares J, Fares M Y, Khachfe H H, Salhab H A and Fares Y 2020 Signal Transduct. Target. Ther. 5 28 [21] Hiraki H L, Matera D L, Wang W Y, Prabhu E S, Zhang Z, Midekssa F, Argento A E, Buschhaus J M, Humphries B A, Luker G D, Pena- Francesch A and Baker B M 2023 Acta Biomater. 163 378 [22] Mierke C T 2019 Rep. Prog. Phys. Phys. Soc. G. B. 82 064602 [23] Wu J S, Sheng S R, Liang X H and Tang Y L 2017 Future Oncol. 13 991 [24] Alberts B, Johnson A, Lewis J, Raff M, Roberts K and Walter P 2002 Molecular Biology of the Cell (4th edn.) (New York: Garland Science) pp. 18-249 [25] Singh A, Soler J A, Lauer J, Grill S W, Jahnel M, Zerial M and Thutupalli S 2023 Nat. Phys. 19 1185 [26] Potiguar F Q, Farias G A and Ferreira W P 2014 Phys. Rev. E 90 012307 [27] Shi S J, Li H S, Feng G Q, Tian W D and Chen K 2020 Phys. Chem. Chem. Phys. 22 14052 [28] Qian B S, Tian W D and Chen K 2021 Phys. Chem. Chem. Phys. 23 20388 [29] Kim W K, Chudoba R, Milster S, Roa R, Kanduč M and Dzubiella J 2020 Soft Matter 16 8144 [30] Zhu W J, Huang X Q and Ai B Q 2018 Chin. Phys. B 27 080504 [31] Kim Y, Joo S, KimWK K and Jeon J H 2022 Macromolecules 55 7136 [32] Cho H W, Kim H, Sung B J and Kim J S 2020 Polymers 12 2067 [33] Lu Y and Hu G H 2021 Soft Matter 17 6374 [34] Shan W J, Zhang F, Tian W D and Chen K 2019 Soft Matter 15 4761 [35] Ning L H, Liu P, Ye F F, Yang M C and Chen K 2021 Phys. Rev. E 103 022608 [36] Liu P, Ning L H, Zong YW, Ye F F, Yang M C and Chen K 2022 Phys. Rev. Lett. 129 018002 [37] Shaebani M R, Wysocki A, Winkler R G, Gompper G and Rieger H 2020 Nat. Rev. Phys. 2 181 [38] Martí-Gómez A, Levis D, Díaz-Guilera A and Pagonabarraga I 2018 Soft Matter 14 2610 [39] Tian W D, Gu Y, Guo Y K and Chen K 2017 Chin. Phys. B 26 100502 [40] Zhou Y J, Wang T H, Lei X K and Peng X G 2024 Chaos Solitons Fractals 180 114596 [41] Nagai K H, Sumino Y, Montagne R, Aranson I S and Chaté H 2015 Phys. Rev. Lett. 114 168001 [42] Wang W 2023 J. Am. Chem. Soc. 145 27185 [43] Hrishikesh B and Mani E 2023 Soft Matter 19 225 [44] Ma Z, Lei Q L and Ni R 2017 Soft Matter 13 8940 [45] Pan J X, Wei H, Qi M J, Wang H F, Zhang J J, Tian W D and Chen K 2020 Soft Matter 16 5545 [46] Weeks J D, Chandler D and Andersen H C 1971 J. Chem. Phys. 55 5422 [47] Di Leonardo R, Angelani L, Dell’Arciprete D, Ruocco G, Iebba V, Schippa S, Conte M P, Mecarini F, De Angelis F and Di Fabrizio E 2010 Proc. Natl. Acad. Sci. USA 107 9541 [48] VERLET L 1968 Phys. Rev. 165 201 [49] Du Y F, Jiang H J and Hou Z H 2019 Soft Matter 15 2020 [50] Kumar P and Chakrabarti R 2023 Phys. Chem. Chem. Phys. 25 1937 |
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