Active Hyperuniform Networks of Chiral Magnetic Micro-Robotic Spinners
Jing Wang, Zihao Sun, Huaicheng Chen, Gao Wang, Duyu Chen, Guo Chen, Jianwei Shuai, Mingcheng Yang, Yang Jiao, Liyu Liu

TL;DR
This paper demonstrates the self-assembly of active magnetic micro-robot networks into stable disorder hyperuniform structures, revealing new mechanisms for emergent order in active matter systems at unprecedented scales.
Contribution
It introduces a novel self-organization mechanism for stable disorder hyperuniform networks in active robotic systems with up to 1000 units.
Findings
Stable DHU networks emerge from magnetic and rotational interactions.
DHU networks are topological transformations of honeycomb structures.
The system achieves large-scale active self-assembly with robust hyperuniformity.
Abstract
Disorder hyperuniform (DHU) systems possess a hidden long-range order manifested as the complete suppression of normalized large-scale density fluctuations like crystals, which endows them with many unique properties. Here, we demonstrate a new organization mechanism for achieving stable DHU structures in active-particle systems via investigating the self-assembly of robotic spinners with three-fold symmetric magnetic binding sites up to a heretofore experimentally unattained system size, i.e., with robots. The spinners can self-organize into a wide spectrum of actively rotating three-coordinated network structures, among which a set of stable DHU networks robustly emerge. These DHU networks are topological transformations of a honeycomb network by continuously introducing the Stone-Wales defects, which are resulted from the competition between tunable magnetic binding and…
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Taxonomy
TopicsMicro and Nano Robotics · Modular Robots and Swarm Intelligence · Pickering emulsions and particle stabilization
