Cage Breaking Far from Equilibrium
Jared Popowski, Nico Schramma, Edan Lerner, Maziyar Jalaal

TL;DR
This study investigates how activity in self-propelling particles alters the caging environment in dense matter, revealing a link between microscopic scales and enhanced dynamics, and demonstrating broken detailed balance in active systems.
Contribution
The paper introduces a minimal active-matter model to analyze cage breaking, showing how activity reshapes the entropic landscape and breaks detailed balance, advancing understanding of nonequilibrium dense matter.
Findings
Cage-breaking landscape becomes metastable at high activity.
Maximum cage-breaking speed occurs when persistence length matches particle radius.
Detailed balance is broken in both landscape dynamics and basin transitions.
Abstract
Active matter can flow and yield under conditions where passive matter jams and slows down, as self-propulsion significantly modulates particle escape from local cages. How activity microscopically reshapes the caging environment to produce this effect, however, remains poorly understood. Here we study a minimal active-matter model of cage breaking: three distinguishable self-propelling disks under circular confinement. This simple setting allows us to construct an entropic landscape for rearrangements and to compare it exactly with its equilibrium counterpart. At low activity the landscape is effectively bistable, whereas at high activity it develops additional metastable basins associated with frustrated clusters at the boundary. We quantify the system's departure from equilibrium and show that cage breaking is fastest when the persistence length matches the particle radius, linking a…
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Taxonomy
TopicsMicro and Nano Robotics · Advanced Thermodynamics and Statistical Mechanics · Modular Robots and Swarm Intelligence
