The collective dynamics of self-propelled particles
Vishwajeet Mehandia, Prabhu R. Nott

TL;DR
This paper introduces a simulation method for studying the collective behavior of self-propelled particles in viscous fluids, revealing complex, chaotic dynamics influenced by hydrodynamic interactions.
Contribution
It extends Stokesian Dynamics to model self-propelled particles with hydrodynamic interactions, providing insights into their collective chaotic motion in two dimensions.
Findings
Particles exhibit chaotic motion due to hydrodynamic interactions.
Distribution of velocities and correlation functions are characterized.
Simulations reveal effects of particle concentration on dynamics.
Abstract
We have proposed a method for the dynamic simulation of a collection of self-propelled particles in a viscous Newtonian fluid. We restrict attention to particles whose size and velocity are small enough that the fluid motion is in the creeping flow regime. We have proposed a simple model for a self-propelled particle, and extended the Stokesian Dynamics method to conduct dynamic simulations of a collection of such particles. In our description, each particle is treated as a sphere with an orientation vector , whose locomotion is driven by the action of a force dipole at a point slightly displaced from its centre. In isolation, a self-propelled particle moves at a constant speed in the direction of . When it coexists with many such particles, its hydrodynamic interaction with the other particles alters its velocity and, more importantly, its orientation. As a result, the…
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