手性粒子在复杂噪声环境中的集体运动

IF 1.8 4区 物理与天体物理 Q4 CHEMISTRY, PHYSICAL
Jun Huang, Zhi-Gang Shao
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引用次数: 0

摘要

基于 Vicsek 模型,研究了手性粒子在复杂噪声环境中的集群运动。在该模型中,我们加入了手性以及影响粒子集群运动的复杂噪声。粒子只能在特定通道中避免噪声干扰,由于环境的复杂性,这种考虑更为现实。通过模拟,我们发现通道比例 p 对手性粒子的同步性有重要影响。具体来说,我们观察到在临界[公式:见正文]处出现了无序阶跃,只有当[公式:见正文]时,系统才能实现全局同步。结合我们对空间分布参数的定义和对模型的观察,原因在于粒子在复杂噪声的影响下开始逃离噪声区。此外,[公式:见正文]的值随速度线性增加,而随手性和相互作用半径的增加单调减少。有趣的是,适当的噪声振幅能使[公式:见正文]最小化。我们的发现可能会启发我们采用新的策略来操纵具有不同手性的自推进粒子,以实现所需的空间迁移和全局同步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collective motion of chiral particles in complex noise environments

Collective motion of chiral particles in complex noise environments is investigated based on the Vicsek model. In the model, we added chirality, along with complex noise, affecting particles clustering motion. Particles can only avoid noise interference in a specific channel, and this consideration is more realistic due to the complexity of the environment. Via simulations, we find that the channel proportion, p, critically influences chiral particle synchronization. Specifically, we observe a disorder-order transition at critical \(p_\textrm{c}\), only when \(p>p_\textrm{c}\), the system can achieve global synchronization. Combined with our definition of spatial distribution parameter and observation of the model, the reason is that particles begin to escape from the noise region under the influence of complex noise. In addition, the value of \(p_\textrm{c}\) increases linearly with velocity, while it decreases monotonically with the increase in chirality and interaction radius. Interestingly, an appropriate noise amplitude minimizes \(p_\textrm{c}\). Our findings may inspire novel strategies to manipulate self-propelled particles of distinct chirality to achieve desired spatial migration and global synchronization.

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来源期刊
The European Physical Journal E
The European Physical Journal E CHEMISTRY, PHYSICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
2.60
自引率
5.60%
发文量
92
审稿时长
3 months
期刊介绍: EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems. Soft matter is a generic term for a large group of condensed, often heterogeneous systems -- often also called complex fluids -- that display a large response to weak external perturbations and that possess properties governed by slow internal dynamics. Flowing matter refers to all systems that can actually flow, from simple to multiphase liquids, from foams to granular matter. Living matter concerns the new physics that emerges from novel insights into the properties and behaviours of living systems. Furthermore, it aims at developing new concepts and quantitative approaches for the study of biological phenomena. Approaches from soft matter physics and statistical physics play a key role in this research. The journal includes reports of experimental, computational and theoretical studies and appeals to the broad interdisciplinary communities including physics, chemistry, biology, mathematics and materials science.
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