Dynamic path dependence of phase behaviors in dense active system

Abstract

There are rich emergent phase behaviors in non-equilibrium active systems. Flocking and clustering are two representative dynamic phases. The relationship between these two phases is still unclear. In the paper, we numerically investigate the evolution of flocking and clustering in a system consisting of self-propelled particles with active reorientation. We consider the interplay between flocking and clustering phases under different initial states, and observe an unstable domain in order parameters phase diagrams due to initial states even in the absence of an explicit attraction. This point is different from the previous finding that active angular fluctuations lead to an earlier breakdown of collective motion and the emergence of a new bi-stable regime in the aligned active particles [R.Grossmann et al, New J. Phys.073033,14 (2012)]. In particular, we find that the existence of bi-stable states is due to the diversity of dynamic paths arising from different initial states. By increasing (decreasing) the initial degree of ordering, the bi-stable state can be shifted to a more ordered flocking (disordered clustering) state. These results enlighten us pave the way to manipulate emergent behaviors and collective motions of active system.

8 pages, 8 figures

References in corpus (9)

• Novel type of phase transition in a system of self-driven particles
• Hierarchical group dynamics in pigeon flocks
• Non-equilibrium clustering of self-propelled rods
• Data-driven quantitative modeling of bacterial active nematics
• Clustering and heterogeneous dynamics in a kinetic Monte-Carlo model of self-propelled hard disks
• The colloidal nature of complex fluids leads to enhanced motility of flagellated bacteria
• Characterization of MIPS in a suspension of repulsive Active Brownian Particles through dynamical features
• Mechanical disorder of sticky-sphere glasses. II. Thermo-mechanical inannealability
• Molecular chaos in dense active systems