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Pattern phase transitions of self-propelled particles: gases, crystals, liquids, and mills

机译:自推进粒子的模式相变:气体,晶体,液体和研磨机

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Download video Transcript View all New J. Phys. video abstracts To understand the collective behaviors of biological swarms, flocks, and colonies, we investigated the non-equilibrium dynamic patterns of self-propelled particle systems using statistical mechanics methods and H-stability analysis of Hamiltonian systems. By varying the individual vision range, we observed phase transitions between four phases, i.e., gas, crystal, liquid, and mill-liquid coexistence patterns. In addition, by varying the inter-particle force, we detected three distinct milling sub-phases, i.e., ring, annulus, and disk. Based on the coherent analysis for collective motions, one may predict the stability and adjust the morphology of the phases of self-propelled particles, which has promising potential applications in natural self-propelled particles and artificial multi-agent systems.
机译:下载视频抄本查看全部New J. Phys。视频摘要为了了解生物群,群和菌落的集体行为,我们使用统计力学方法和汉密尔顿系统的H稳定性分析研究了自推进粒子系统的非平衡动态模式。通过改变个体的视觉范围,我们观察到四个相之间的相变,即,气体,晶体,液体和磨-液共存模式。另外,通过改变粒子间的作用力,我们检测到三个不同的研磨子相,即环,环和盘。基于对集体运动的相干分析,可以预测自推进粒子的稳定性并调整其形态,这在天然自推进粒子和人工多代理系统中具有广阔的应用前景。

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