How environment affects active particle swarms: a case study. Issue 12 (14th December 2022)

• Record Type: Journal Article
• Authors: Degond, Pierre; Manhart, Angelika; Merino-Aceituno, Sara; Peurichard, Diane; Sala, Lorenzo
• Is Part Of: Royal Society open science. Volume 9:Issue 12(2022)
• Publication Date: 2022-12-14
• Subjects: self-propelled particles -- collective dynamics -- agent-based models -- partial differential equations -- multiscale modelling; Science -- Periodicals; 500
• DOI: 10.1098/rsos.220791
• Languages: English
• ISSNs: 2054-5703

Abstract

Abstract : We investigate the collective motion of self-propelled agents in an environment filled with obstacles that are tethered to fixed positions via springs. The active particles are able to modify the environment by moving the obstacles through repulsion forces. This creates feedback interactions between the particles and the obstacles from which a breadth of patterns emerges (trails, band, clusters, honey-comb structures, etc.). We will focus on a discrete model first introduced in Aceves-Sanchez P et al. (2020, Bull. Math. Biol. 82, 125 (doi:10.1007/s11538-020-00805-z )), and derived into a continuum PDE model. As a first major novelty, we perform an in-depth investigation of pattern formation of the discrete and continuum models in two dimensions: we provide phase-diagrams and determine the key mechanisms for bifurcations to happen using linear stability analysis. As a result, we discover that the agent-agent repulsion, the agent-obstacle repulsion and the obstacle's spring stiffness are the key forces in the appearance of patterns, while alignment forces between the particles play a secondary role. The second major novelty lies in the development of an innovative methodology to compare discrete and continuum models that we apply here to perform an in-depth analysis of the agreement between the discrete and continuum models.