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Entropic stochastic resonance of a self-propelled Janus particle

Author

Listed:
  • Zhenzhen Liu

    (Yunnan University)

  • Luchun Du

    (Yunnan University)

  • Wei Guo

    (Kunming University)

  • Dong-Cheng Mei

    (Yunnan University)

Abstract

Entropic stochastic resonance is investigated when a self-propelled Janus particle moves in a double-cavity container. Numerical simulation results indicate the entropic stochastic resonance can survive even if there is no symmetry breaking in any direction. This is the essential distinction between the property of a self-propelled Janus particle and that of a passive Brownian particle, for the symmetry breaking is necessary for the entropic stochastic resonance of a passive Brownian particle. With the rotational noise intensity growing at small fixed noise intensity of translational motion, the signal power amplification increases monotonically towards saturation which also can be regarded as a kind of stochastic resonance effect. Besides, the increase in the natural frequency of the periodic driving depresses the degree of the stochastic resonance, whereas the rise in its amplitude enhances and then suppresses the behavior.

Suggested Citation

  • Zhenzhen Liu & Luchun Du & Wei Guo & Dong-Cheng Mei, 2016. "Entropic stochastic resonance of a self-propelled Janus particle," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(10), pages 1-5, October.
    • Handle: RePEc:spr:eurphb:v:89:y:2016:i:10:d:10.1140_epjb_e2016-70453-3
    DOI: 10.1140/epjb/e2016-70453-3
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    Cited by:

    1. Jiang, Jiahao & Li, Kaiyuan & Guo, Wei & Du, Luchun, 2021. "Energetic and entropic vibrational resonance," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    2. Li, Jiangcheng & Zhang, Chunmin & Liu, Jifa & Li, Zhen & Yang, Xuan, 2018. "An application of Mean Escape Time and metapopulation on forestry catastrophe insurance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 312-323.

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    Keywords

    Statistical and Nonlinear Physics;

    Statistics

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