Theoretical Soft Matter and Biophysics, Institute of Complex Systems and Institute for Advanced Simulation, Forschungszentrum Jülich, 52425 Jülich, Germany.
J Phys Condens Matter. 2020 May 8;32(19):193001. doi: 10.1088/1361-648X/ab6348.
Activity and autonomous motion are fundamental in living and engineering systems. This has stimulated the new field of 'active matter' in recent years, which focuses on the physical aspects of propulsion mechanisms, and on motility-induced emergent collective behavior of a larger number of identical agents. The scale of agents ranges from nanomotors and microswimmers, to cells, fish, birds, and people. Inspired by biological microswimmers, various designs of autonomous synthetic nano- and micromachines have been proposed. Such machines provide the basis for multifunctional, highly responsive, intelligent (artificial) active materials, which exhibit emergent behavior and the ability to perform tasks in response to external stimuli. A major challenge for understanding and designing active matter is their inherent nonequilibrium nature due to persistent energy consumption, which invalidates equilibrium concepts such as free energy, detailed balance, and time-reversal symmetry. Unraveling, predicting, and controlling the behavior of active matter is a truly interdisciplinary endeavor at the interface of biology, chemistry, ecology, engineering, mathematics, and physics. The vast complexity of phenomena and mechanisms involved in the self-organization and dynamics of motile active matter comprises a major challenge. Hence, to advance, and eventually reach a comprehensive understanding, this important research area requires a concerted, synergetic approach of the various disciplines. The 2020 motile active matter roadmap of Journal of Physics: Condensed Matter addresses the current state of the art of the field and provides guidance for both students as well as established scientists in their efforts to advance this fascinating area.
活性和自主运动是生命和工程系统的基础。这激发了近年来“活性物质”这一新领域的发展,该领域专注于推进机制的物理方面,以及更多相同个体的运动诱导的突发集体行为。个体的规模从纳米马达和微型游泳者到细胞、鱼类、鸟类和人类不等。受生物微型游泳者的启发,已经提出了各种自主合成纳米和微机器的设计。这些机器为多功能、高响应、智能(人工)活性材料提供了基础,这些材料表现出突发行为和响应外部刺激执行任务的能力。理解和设计活性物质的一个主要挑战是由于持续的能量消耗,它们具有固有非平衡性质,这使得自由能、详细平衡和时间反转对称等平衡概念失效。揭示、预测和控制活性物质的行为是生物学、化学、生态学、工程学、数学和物理学交叉界面上的一项真正的跨学科努力。涉及运动活性物质的自我组织和动力学的现象和机制的巨大复杂性构成了一个主要挑战。因此,为了取得进展并最终达到全面理解,这一重要研究领域需要各学科的协同、协同方法。《物理杂志:凝聚态》2020 年的运动活性物质路线图介绍了该领域的最新技术水平,并为学生和已建立的科学家在推进这一迷人领域的努力中提供了指导。