Sorting of chiral active particles by a spiral shaped obstacle
Guo-hao Xu,
Teng-Chao Li and
Bao-quan Ai
Physica A: Statistical Mechanics and its Applications, 2022, vol. 608, issue P1
Abstract:
Sorting of chiral particles by obstacles often relies on the chiral symmetry breaking of the patterns. We proposed a method for the chiral separation of chiral active particles in a two-dimensional square box where exists a spiral shaped obstacle. With the chirality of circular motion coupling to chiral features in the spiral environment, the mixed chiral particles can be separated and selectively trapped by the spiral shaped obstacle. We found that the mixed particles can be completely separated for the optimal angular speed and self-propulsion speed of active particles. Our results can be exploited to capture or sort chiral active particles with specific parameters.
Keywords: Self-propelled particles; Separation; Nonequilibrium thermodynamics; Motors; Motion; Transport (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122008056
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:608:y:2022:i:p1:s0378437122008056
DOI: 10.1016/j.physa.2022.128247
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().