Hyperuniform Networks of Active Magnetic Robotic Spinners

Area of Science:

• Physics
• Materials Science
• Robotics

Background:

• Disorder hyperuniform (DHU) systems exhibit suppressed large-scale density fluctuations, mimicking crystal-like order without periodic structures.
• These unique properties make DHU systems attractive for various applications.
• Achieving stable DHU structures in active systems remains a challenge.

Purpose of the Study:

• To demonstrate a novel self-assembly mechanism for stable DHU structures in active-particle systems.
• To investigate the formation of DHU networks using robotic spinners.
• To explore the influence of active rotation and magnetic binding on DHU formation.

Main Methods:

• Utilized robotic spinners with threefold symmetric magnetic binding sites.
• Investigated the self-assembly of approximately 1,000 robots to achieve large system sizes.
• Analyzed the emergent network structures and identified DHU formation.

Main Results:

• Robotic spinners self-organized into diverse actively rotating, three-coordinated network structures.
• Stable disordered hyperuniform networks robustly emerged from the self-assembly process.
• These DHU networks are topological transformations of honeycomb networks, incorporating Stone-Wales defects.

Conclusions:

• A new mechanism for achieving stable DHU states in active systems was demonstrated.
• The competition between magnetic binding and active rotation drives the formation of DHU networks with defects.
• This work paves the way for creating novel DHU materials with tunable properties.