Structure and Memory Control Self-Diffusion in Active Matter
Akinlade Akintunde, Stewart A. Mallory

TL;DR
This paper develops a quantitative framework linking microscopic force correlations and temporal persistence to self-diffusion in active matter, revealing how anisotropic collisions and memory effects influence transport properties.
Contribution
It introduces an exact expression for self-diffusivity based on measurable force statistics and applies it to active Brownian particles, highlighting the role of collisional memory.
Findings
Self-diffusion is reduced by collisional memory in active particles.
Anisotropic collisional forces suppress particle motion.
Memory effects act as a dissipative correction to diffusion.
Abstract
Despite extensive progress in characterizing the emergent behavior of active matter, the microscopic origins of self-diffusion in interacting active systems remain poorly understood. Here, we develop a framework that quantitatively links self-diffusion to collisional forces and their temporal correlations in active fluids. We show that transport is governed by two contributions: an equal-time suppression of motion arising from anisotropic collisional forces, and a memory correction associated with the temporal persistence of these forces. Together, these effects yield an exact expression for the self-diffusivity in terms of measurable force statistics and correlation times. We apply this framework to purely repulsive active Brownian particles and find that self-diffusion is always reduced, with collisional memory acting as a strictly dissipative correction. Our results establish a…
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Taxonomy
TopicsMicro and Nano Robotics · Advanced Thermodynamics and Statistical Mechanics · Modular Robots and Swarm Intelligence
