论文标题
流动液滴的蒸发自组装
Evaporative self-assembly of motile droplets
论文作者
论文摘要
自组装是生物系统的基本建筑原理,它代表了制造未来的一种有希望的方法,但是产量通常受到不良稳态状态的限制。同时,长期以来,退火方法一直是指导复杂系统朝着最佳状态的重要手段。尽管它们的重要性,但几乎没有尝试实验地可视化退火过程中发生的微观动态。在这里,我们提出了一个实验系统,该系统可以通过在规定的晶格网络上利用多动蒸发物理学来研究多体动力学。运动二进制液滴的集合被播种到六角形晶格模板中,其中相互作用是通过蒸气相介导的,并且可以通过应用全球重力场来操纵。我们表明,对于有限的系统(61滴),相互作用的液滴具有有效的远程相互作用,从而形成了沮丧的,亚稳态的状态。周期性的全局重力场的应用可以通过非平衡相转变来驱动系统,从而将相位锁定的同步与相互作用为主的行为分开。最后,我们直接可视化以场驱动的退火,导致终端状态不那么沮丧。总体而言,我们的结果代表了一个新的平台,用于研究具有长期相互作用的多体物理学,从而实现了基于现场的控制策略的设计,以编程复杂的多体系统的自组装。
Self-assembly is the underlying building principle of biological systems and represents a promising approach for the future of manufacturing, but the yields are often limited by undesirable metastable states. Meanwhile, annealing methods have long been an important means to guide complex systems towards optimal states. Despite their importance, there have been few attempts to experimentally visualize the microscopic dynamics that occur during annealing. Here, we present an experimental system that enables the study of interacting many-body dynamics by exploiting the physics of multi-droplet evaporation on a prescribed lattice network. Ensembles of motile binary droplets are seeded into a hexagonal lattice template where interactions are mediated through the vapor phase and can be manipulated through the application of a global gravitational field. We show that for finite systems (61 droplets) the interacting droplets have an effective long-ranged interaction that results in the formation of frustrated, metastable states. Application of a periodic, global gravitational field can drive the system through a non-equilibrium phase transition separating phase-locked synchronization from interaction-dominated behavior. Finally, we directly visualize field-driven annealing that leads to terminal states that are less frustrated. Overall, our results represent a new platform for studying many-body physics with long-ranged interactions, enabling the design of field-based control strategies for programming the self-assembly of complex many-body systems.