粗糙势中双耦合布朗粒子的定向传输

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-04 DOI:10.1016/j.chaos.2025.116204
Peng-Juan Zhang , Guang-Kuo Zhao , Peng Wang , Jie Huo , Xu-Ming Wang
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Directed transport of two-coupled Brownian particles in a rough potential
Revealing transport behaviors of Brownian particles in rough potential is of great significance for understanding some physical and biological phenomena. We study the effect of roughness in the potential landscape on the transport of two coupled inertial Brownian particles subjected to a time-periodic force in a Gaussian environment. The transport property is characterized by the current, the time-averaged asymptotic velocity. The interactions, between the roughness and the coupling strength, the driving strength, noise, as well as the coupling length, lead to the transport particularly complex, such as the current varies non-monotonically with the coupling and/or the coupling length, the moderate roughness can enhance the transport but the large roughness can hinder the transport in the case of weak driving, and so on. The mechanism governing these processes is revealed by the effective potential and the corresponding effective driving. The most important finding is that the wells formed by the roughness act as a ladder for the coupled particles to climb up and over the side of the ratchet in some situations, while they serve as the traps to imprison the particles in other situations. These results perhaps can provide guidance for enhancing transport performance of the coupled particles in a rough environment.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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