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具有凝聚力、排列性粒子的涌现集体行为。

Emergent collective behavior of cohesive, aligning particles.

作者信息

Shea Jeanine, Stark Holger

机构信息

Division of Theoretical Physics Institute of Physics and Astronomy, Technische Universität Berlin, Hardenbergstr. 36, 10623, Berlin, Germany.

出版信息

Eur Phys J E Soft Matter. 2025 May 7;48(4-5):22. doi: 10.1140/epje/s10189-025-00482-7.

Abstract

Collective behavior is all around us, from flocks of birds to schools of fish. These systems are immensely complex, which makes it pertinent to study their behavior through minimal models. We introduce such a minimal model for cohesive and aligning self-propelled particles in which group cohesion is established through additive, non-reciprocal torques. These torques cause a particle's orientation vector to turn toward its neighbor so that it aligns with the separation vector. We additionally incorporate an alignment torque, which competes with the cohesive torque in the same spatial range. By changing the strength and range of these torque interactions, we uncover six states which we distinguish via their static and dynamic properties: a disperse state, a multiple worm state, a line state, a persistent worm state, a rotary worm state, and an aster state. Their occurrence strongly depends on initial conditions and stochasticity, so the model exhibits multistabilities. A number of the states exhibit collective dynamics which are reminiscent of those seen in nature.

摘要

集体行为在我们周围随处可见,从鸟群到鱼群。这些系统极其复杂,这使得通过极简模型来研究它们的行为变得十分必要。我们引入了这样一个用于有凝聚力且能对齐的自驱动粒子的极简模型,其中群体凝聚力是通过加性、非互易扭矩建立的。这些扭矩会使粒子的方向向量转向其邻居,从而使其与分离向量对齐。我们还纳入了一个对齐扭矩,它在相同的空间范围内与凝聚扭矩相互竞争。通过改变这些扭矩相互作用的强度和范围,我们发现了六种状态,我们通过它们的静态和动态特性来区分:分散状态、多个蠕虫状态、线状状态、持续蠕虫状态、旋转蠕虫状态和星状状态。它们的出现强烈依赖于初始条件和随机性,所以该模型呈现出多稳定性。许多状态展现出的集体动力学让人联想到在自然界中看到的那些。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac6f/12058968/81e20da1284a/10189_2025_482_Fig1_HTML.jpg

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