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Emergent Chirality and Hyperuniformity in an Active Mixture with Nonreciprocal Interactions.
Chen, Jianchao; Lei, Xiaokang; Xiang, Yalun; Duan, Mengyuan; Peng, Xingguang; Zhang, H P.
Afiliación
  • Chen J; School of Physics and Astronomy, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Lei X; Faculty of Electronic and Information Engineering, and MOE Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, 710049, China.
  • Xiang Y; College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
  • Duan M; School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China.
  • Peng X; College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
  • Zhang HP; School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China.
Phys Rev Lett ; 132(11): 118301, 2024 Mar 15.
Article en En | MEDLINE | ID: mdl-38563944
ABSTRACT
We investigate collective dynamics in a binary mixture of programmable robots in experiments and simulations. While robots of the same species align their motion direction, interaction between species is distinctly nonreciprocal species A aligns with B and species B antialigns with A. This nonreciprocal interaction gives rise to the emergence of collective chiral motion that can be stabilized by limiting the robot angular speed to be below a threshold. Within the chiral phase, increasing the robot density or extending the range of local repulsive interactions can drive the system through an absorbing-active transition. At the transition point, the robots exhibit a remarkable capacity for self-organization, forming disordered hyperuniform states.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2024 Tipo del documento: Article País de afiliación: China