D' Orsogna M R, Chuang Y L, Bertozzi A L, Chayes L S
Department of Mathematics, UCLA, Los Angeles, California 90095, USA.
Phys Rev Lett. 2006 Mar 17;96(10):104302. doi: 10.1103/PhysRevLett.96.104302.
Understanding collective properties of driven particle systems is significant for naturally occurring aggregates and because the knowledge gained can be used as building blocks for the design of artificial ones. We model self-propelling biological or artificial individuals interacting through pairwise attractive and repulsive forces. For the first time, we are able to predict stability and morphology of organization starting from the shape of the two-body interaction. We present a coherent theory, based on fundamental statistical mechanics, for all possible phases of collective motion.
理解驱动粒子系统的集体性质对于自然形成的聚集体具有重要意义,并且因为所获得的知识可作为设计人造聚集体的基础。我们对通过成对吸引力和排斥力相互作用的自推进生物或人工个体进行建模。首次,我们能够从两体相互作用的形状出发预测组织的稳定性和形态。我们基于基本统计力学提出了一个关于集体运动所有可能相的连贯理论。