振荡势中惯性布朗粒子的绝对负迁移率。

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS Physical Review E Pub Date : 2024-10-01 DOI:10.1103/PhysRevE.110.044144
Jian-Chun Wu, Feng Yang, Tian-Wen Dong, Meng An
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引用次数: 0

摘要

在外力恒定的情况下,对惯性布朗粒子在振荡势中的传输进行了数值研究。振荡势能打破热力学平衡。在适当的参数范围内,粒子的运动方向与恒力相反,这意味着系统可以表现出绝对负迁移率(ANM)现象。此外,从分岔图中还可以推断出,绝对负迁移现象源于混沌-周期转换,即粒子在恒定力作用下,由于振荡势的持续反向驱动而产生反向周期运动。基于 GPU 加速技术,我们展示了 ANM 在参数空间中的分布,并分析了 ANM 如何依赖于系统参数。这些结果在很宽的参数范围内都是稳健的,并可能为 ANM 的实验实现铺平道路。
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Absolute negative mobility of an inertial Brownian particle in an oscillating potential.

Transport of an inertial Brownian particle in an oscillating potential is numerically investigated in the presence of an external constant force. The oscillating potential can break thermodynamic equilibrium. Within appropriate parameter regimes, the particle moves in a direction opposite to the constant force, which means that the system can exhibit the phenomenon of absolute negative mobility (ANM). Furthermore, it may be inferred from the bifurcation diagrams that ANM originates from chaotic-periodic transitions, where the particle subjected to a constant force performs reverse periodic motion due to continuous reverse driving by the oscillating potential. Based on GPU acceleration techniques, we present the distribution of ANM in the parameter space and analyze how the ANM depends on the system parameters. These results are robust in a wide range of parameters and may pave the way to the experimental realization of ANM.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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