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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 20: Active Matter II (joint session BP/CPP/DY)

CPP 20.2: Talk

Tuesday, March 19, 2024, 09:45–10:00, H 1028

Swarming of self-steering and responsive active particles — •Rajendra Singh Negi, Roland G. Winkler, and Gerhard Gompper — Theoretical Physics of Living Matter, Institute of Biological Information Processing (IBI-5), Forschungszentrum Jülich, 52425 Jülich, Germany

The collective behavior of self-propelled agents emerges from the dynamic response of individuals to various input signals [1,2]. In our model of intelligent active Brownian particles (iABPs), information about the position and orientation of neighboring particles, obtained through directed visual and isotropic perception, respectively, is used to adjust the propulsion direction. The maneuverability due to visual signal and polar alignment determines the self-organization. Several non-equilibrium structures like worms, milling, compact, and dispersed clusters are obtained at different parameter sets [2]. As the strength of polar alignment increased compared to visual maneuverability, worm structures dominate over compact structures. Our results help to understand the collective behavior of cognitive self-propelled particles, like animal herds and micro-robotic swarms.

[1]. R. S. Negi, R. G. Winkler, and G. Gompper, Emergent collective behavior of active Brownian particles with visual perception, Soft Matter 18, 6167 (2022).

[2]. R. S. Negi, R. G. Winkler, and G. Gompper, Collective behavior of self-steering particles with velocity alignment and visual perception, (2023) arXiv:2308.00670 .

Keywords: Emergent behavior; Collective motion; Self-steering; Swarming; cognitive model