Transport of passive particles induced by chiral-active particles in microchannel is investigated by using the overdamped Langevin dynamics simulation in a two-dimensional model system. Due to the chirality of active particles and special structure of microchannel, effective ratchet transport of passive particles is achieved. Effective transport of passive particles depends on the width of microchannel (d), the density (ρ), and the angular velocity (ω) of chiral-active particles. There exist optimal parameters for d and ω at which the transport efficiency for passive particles takes its maximal value. This investigation can help us understand the necessity of active motion for living systems to maintain a number of vital processes such as materials transport inside cells and the foraging dynamics of mobile organisms.
Yunfeng Hua(华昀峰), Linli He(何林李), Linxi Zhang(章林溪) Effective transport of passive particles induced by chiral-active particles in microchannel 2017 Chin. Phys. B 26 080702
[1]
Marchetti M C, Joanny J F, Ramaswamy S, et al. 2013 Rev. Mod. Phys. 85 1143
[2]
Elgeti J, Winkler R G and Gompper G 2015 Rep. Prog. Phys. 78 056601
[3]
Lauga E and Powers T 2009 Rep. Prog. Phys. 72 096601
[4]
Yang M and Ripoll M 2011 Phys. Rev. E 84 061401
[5]
Ghosh P K, Misko V R, Marchesoni F and Nori F 2013 Phys. Rev. Lett. 110 268301
[6]
Ghosh P K, Li Y, Marchesoni F and Nori F 2015 Phys. Rev. E 92 012114
[7]
Nepusz T and Vicsek T 2012 Nat. Phys. 8 568
[8]
Elgeti J and Gompper G 2013 Europhys. Lett. 101 48003
[9]
Cates M E 2012 Rep. Prog. Phys. 75 042601
[10]
Kaiser A, Peshkov A, Sokolov A, et al. 2014 Phys. Rev. Lett. 112 158101
[11]
Angelani L, Leonardo R D and Ruocco G 2009 Phys. Rev. Lett. 102 048104
[12]
Pototsky A, Hahn A M and Stark H 2013 Phys. Rev. E 87 042124
[13]
Potiguar F Q, Farias G A and Ferreira W P 2014 Phys. Rev. E 90 012307
[14]
Koumakis N, Maggi C and Leonardo R D 2014 Soft Matter 10 5695
[15]
Ai B Q, Zhu W J, He Y F and Zhong W R 2017 J. Stat. Mech. 17 023501
[16]
Ai B Q, He Y F and Zhong W R 2017 Phys. Rev. E 95 012116
[17]
Costanzo A, Elgeti J, Auth T, et al. 2014 Europhys. Lett. 107 36003
[18]
Ai B Q, He Y F and Zhong W R 2015 Soft Matter 11 3852
[19]
Maggi C, Lepore A, Solari J, et al. 2013 Soft Matter 9 10885
[20]
Chen J X, Guo M M and Ma J 2016 Europhys. Lett. 113 38004
[21]
Mijalkov M and Volpe G 2013 Soft Matter 9 6376
[22]
Ai B Q 2016 Sci. Rep. 6 18740
[23]
Wioland H, Woodhouse F G, Dunkel J, et al. 2013 Phys. Rev. Lett. 110 268102.
[24]
Rusconi R, Guasto J S and Stocker R 2014 Nat. Phys. 10 212
[25]
Zhang H P, Beer A, Florin E L and Swinney H L 2010 Proc. Natl. Acad. Sci. USA 107 13626
[26]
Hill J, Kalkanci O, Mcmurry J L and Koser H 2007 Phys. Rev. Lett. 98 068101
[27]
Pototsky A, Hahn A M and Stark H 2013 Phys. Rev. E 87 042124
[28]
Hagen B T, Kummel F, Wittkowski R, et al. 2014 Nat. Commun. 5 4829
[29]
Ai B Q and Wu J C 2014 J. Chem. Phys. 140 094103
[30]
Wu J C and Ai B Q 2016 Sci. Rep. 6 24001
[31]
Chen J X, Chen Y G and Ma Y Q 2016 Soft Matter 12 1876
[32]
Chen J X, Zhu J X, Ma Y Q and Cao J S 2014 Europhys. Lett. 106 18003
[33]
Wu J C, Zhou J N and Ai B Q 2016 Physica A 462 864
[34]
Volpe G, Gigan S and Volpe G 2014 Am. J. Phys. 82 659
[35]
Huang M J, Schofield J and Kapral R 2017 J. Phys. A: Math. Theor. 50 074001
[36]
Prost J, Chauwin J F, Peliti L and Ajdari A 1994 Phys. Rev. Lett. 72 2652
[37]
Zhang H P, Beer A, Florin E L and Swinney H L 2010 Proc. Natl. Acad. Sci. USA 107 13626
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
