Lobaskin Vladimir, Romenskyy Maksym
School of Physics, Complex and Adaptive Systems Lab, University College Dublin, Belfield, Dublin 4, Ireland.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):052135. doi: 10.1103/PhysRevE.87.052135. Epub 2013 May 28.
We use computer simulations to study the onset of collective motion in systems of interacting active particles. Our model is a swarm of active Brownian particles with an internal energy depot and interactions inspired by the dissipative particle dynamics method, imposing pairwise friction force on the nearest neighbors. We study orientational ordering in a 2D system as a function of energy influx rate and particle density. The model demonstrates a transition into the ordered state on increasing the particle density and increasing the input power. Although both the alignment mechanism and the character of individual motion in our model differ from those in the well-studied Vicsek model, it demonstrates identical statistical properties and phase behavior.
我们使用计算机模拟来研究相互作用的活性粒子系统中集体运动的起始。我们的模型是一群具有内部能量储存库的活性布朗粒子,其相互作用受耗散粒子动力学方法启发,对最近邻粒子施加成对摩擦力。我们研究二维系统中的取向有序化作为能量流入率和粒子密度的函数。该模型表明,随着粒子密度增加和输入功率增加,会转变为有序状态。尽管我们模型中的对齐机制和个体运动特征与研究充分的Vicsek模型不同,但它表现出相同的统计特性和相行为。