Synchronous and Fully Steerable Active Particle Systems for Enhanced Mimicking of Collective Motion in Nature
Synchronous and Fully Steerable Active Particle Systems for Enhanced Mimicking of Collective Motion in Nature
复制标题
用于增强模拟自然界集体运动的同步且完全可操纵的主动粒子系统
DOI：
10.1002/adma.202304759
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发表时间：
2023
影响因子：
29.4
通讯作者：
Zheng, Yuebing
中科院分区：
文献类型：
--
作者：
Chen, Zhihan;Ding, Hongru;Kollipara, Pavana Siddhartha;Li, Jingang;Zheng, Yuebing
在生活的活动物质中观察到的集体运动，如鱼群和鸟群，其特点是动态和复杂的性质，涉及各种运动状态和过渡。通过调整物理相互作用或结合信息交换能力，无生命的活性粒子可以表现出类似的行为。然而，缺乏对单个粒子的同步和任意控制，阻碍了它们作为研究生物物种中更复杂的集体运动的测试系统的使用。在此，提出了一种新的光学反馈控制系统，该系统能够模拟使用活性粒子在活体中观察到的集体运动。该系统允许在具有可控和现实条件的微尺度扰动环境中进行速度对准的实验研究，这是集体运动的开创性模型（称为Vicsek模型）。观察到不同运动态的自发形成以及这些运动态之间的动态跃迁。此外，在不同扰动的影响下，在临界密度下的活性颗粒群的高鲁棒性被定量验证。这些研究结果支持的有效性速度对齐在真实的扰动环境中，从而提供了一个通用的平台，集体运动的基础研究和创新的群体微型机器人的发展。
The collective motion observed in living active matter, such as fish schools and bird flocks, is characterized by its dynamic and complex nature, involving various moving states and transitions. By tailoring physical interactions or incorporating information exchange capabilities, inanimate active particles can exhibit similar behavior. However, the lack of synchronous and arbitrary control over individual particles hinders their use as a test system for the study of more intricate collective motions in living species. Herein, a novel optical feedback control system that enables the mimicry of collective motion observed in living objects using active particles is proposed. This system allows for the experimental investigation of the velocity alignment, a seminal model of collective motion (known as the Vicsek model), in a microscale perturbed environment with controllable and realistic conditions. The spontaneous formation of different moving states and dynamic transitions between these states is observed. Additionally, the high robustness of the active‐particle group at the critical density under the influence of different perturbations is quantitatively validated. These findings support the effectiveness of velocity alignment in real perturbed environments, thereby providing a versatile platform for fundamental studies on collective motion and the development of innovative swarm microrobotics.