English

Pattern formation and phase transition in the collective dynamics of a binary mixture of polar self-propelled particles

Soft Condensed Matter 2022-08-02 v1 Statistical Mechanics

Abstract

The collective behavior of a binary mixture of polar self-propelled particles (SPPs) with different motile properties is studied. The binary mixture consists of slow-moving SPPs (sSPPs) of fixed velocity vsv_s and fast-moving SPPs (fSPPs) of fixed velocity vfv_f. These SPPs interact via a short-range interaction irrespective of their types. They move following certain position and velocity update rules similar to the Vicsek model (VM) under the influence of an external noise η\eta. The system is studied at different values of vfv_f keeping vs=0.01v_s=0.01 constant for a fixed density ρ=0.5\rho=0.5. Different phase-separated collective patterns that appear in the system over a wide range of noise η\eta are characterized. The fSPPs and the sSPPs are found to be orientationally phase-synchronized at the steady-state. We studied an orientational order-disorder transition varying the angular noise η\eta and identified the critical noise ηc\eta_c for different vfv_f. Interestingly, both the species exhibit continuous transition for vf<100vsv_f<100v_s, and discontinuous transition for vf>100vsv_f>100v_s. A new set of critical exponents is determined for the continuous transitions. However, the binary model is found to be non-universal as the values of the critical exponents depend on the velocity. The effect of interaction radius on the system behavior is also studied.

Keywords

Cite

@article{arxiv.2208.00723,
  title  = {Pattern formation and phase transition in the collective dynamics of a binary mixture of polar self-propelled particles},
  author = {Sagarika Adhikary and S. B. Santra},
  journal= {arXiv preprint arXiv:2208.00723},
  year   = {2022}
}