摘要
In classical matter systems, typical phase-transition phenomena usually stem from changes in state variables, such as temperature and pressure, induced by external regulations such as heat transfer and volume adjustment. However, in active matter systems, the self-propulsion nature of active particles endows the systems with the ability to induce unique collectivestate transitions by spontaneously regulating individual properties to alter the overall states. Based on an innovative robot-swarm experimental system, we demonstrate a field-driven active matter model capable of modulating individual motion behaviors through interaction with a recoverable environmental resource field by the resource perception and consumption.In the simulated model, by gradually reducing the individual resource-conversion coefficient over time, this robotic active matter can spontaneously decrease the overall level of motion, thereby actively achieving a regulation behavior like the cooling-down control. Through simulation calculations, we discover that the spatial structures of this robotic active matter convert from disorder to order during this process, with the resulting ordered structures exhibiting a high self-adaptability on the geometry of the environmental boundaries.
作者
侯帅旭
王高
马星宇
汪楚云
王鹏
陈怀城
刘雳宇
王璟
Shuaixu Hou;Gao Wang;Xingyu Ma;Chuyun Wang;Peng Wang;Huaicheng Chen;Liyu Liu;Jing Wang(Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials,College of Physics,Chongqing University,Chongqing 401331,China;Wenzhou Institute,University of Chinese Academy of Sciences,Wenzhou 325011,China;School of Physical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;School of Ophthalmology and Optometry,Eye Hospital,School of Biomedical Engineering,Wenzhou Medical University,Wenzhou 325035,China;Postgraduate Training Base Alliance,Wenzhou Medical University,Wenzhou 325035,China)
基金
Project supported by the National Natural Science Foundation of China(Grant No.12174041)
China Postdoctoral Science Foundation(Grant No.2022M723118)
the Seed Grants from the Wenzhou Institute,University of Chinese Academy of Sciences(Grant No.WIUCASQD2021002)。
