AI summary · arXiv: 2303.07746v1 · cond-mat.soft

Flocking without alignment interactions in attractive active Brownian particles

Lorenzo Caprini, Hartmut Löwen

Original paper · DOI Submitted to arXiv on 14 Mar. 2023 License: NONEXCLUSIVE-DISTRIB 1.0

The essentials

  • The study explores flocking behavior in active Brownian particles
  • The authors challenge the conventional belief that alignment interactions are necessary for flocking to occur
  • Non-aligning attractive interactions can lead to a flocking state
  • Velocity polarization is used as an order parameter to monitor the onset of a first-order transition from a disordered phase characterized by several small clusters, to a flocking phase where a single flocking cluster emerges
  • Spatial connected correlation function of particle velocities confirms the scenario and reveals scale-free behavior in flocking states and exponential-like decay for non-flocking configurations
  • Findings have significant implications for understanding collective behavior in various systems such as animals, migrating cells, and active colloids
  • Predictions made in this study can be tested through microscopic and macroscopic experiments showing flocking behavior

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Flocking Collective Behavior Velocity Polarization Scale-Free Behavior Exponential Decay

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The study by Lorenzo Caprini and Hartmut Löwen explores the phenomenon of flocking behavior in active Brownian particles. The authors challenge the conventional belief that alignment interactions are necessary for flocking to occur, and instead propose a simple model where even non-aligning attractive interactions can lead to a flocking state. The study uses velocity polarization as an order parameter to monitor the onset of a first-order transition from a disordered phase characterized by several small clusters, to a flocking phase where a single flocking cluster emerges. The authors confirm their scenario by studying the spatial connected correlation function of particle velocities, which reveals scale-free behavior in flocking states and exponential-like decay for non-flocking configurations. The findings have significant implications for understanding collective behavior in various systems such as animals, migrating cells, and active colloids. The predictions made in this study can be tested through microscopic and macroscopic experiments showing flocking behavior. Overall, this research provides new insights into the mechanisms underlying collective motion and opens up avenues for further exploration in this field.

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