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Ratchet effect of interacting active particles induced by cross-correlated noises

Author

Listed:
  • Yuwen Fang

    (Kunming University of Science and Technology)

  • Yuhui Luo

    (Kunming University of Science and Technology
    Zhaotong University)

  • Tao Huang

    (Kunming University of Science and Technology)

  • Chunhua Zeng

    (Kunming University of Science and Technology)

Abstract

Through theoretical analysis and numerical simulation, we investigate ratchet effect of active particles in biased velocity potential in the presence of cross-correlated noises. For a single active particle, the mean velocity and mobility suggest that cross-correlated noises can lead to the ratchet effect. The finding is interpreted by the time series, the rectified potential, mean square displacement, and the diffusion coefficient. The diffusion displays hyperdiffusion, superdiffusion, and normal diffusion for different conditions and time intervals. The crossover times that separates these stages can be controlled by cross-correlated noises and static force. For interacting active particles, we find through time series and average velocity that the weak interaction between particles, which leads to weak collective motion, can enhance the ratchet effect. However, the strong interaction, which results in strong collective motion, can weaken, even eliminate it. Our results may provide a valuable way to control the transport of active particles through the ratchet effect. Graphic abstract

Suggested Citation

  • Yuwen Fang & Yuhui Luo & Tao Huang & Chunhua Zeng, 2022. "Ratchet effect of interacting active particles induced by cross-correlated noises," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(5), pages 1-10, May.
    • Handle: RePEc:spr:eurphb:v:95:y:2022:i:5:d:10.1140_epjb_s10051-022-00335-8
    DOI: 10.1140/epjb/s10051-022-00335-8
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    Cited by:

    1. Qian, Jia-xin & Lu, Yan-qing, 2023. "The collective motion of self-propelled particles affected by the spatial-dependent noise based on Vicsek rules," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).

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