论文标题
活性丝系统中的显微相位分离是通过簇大小和顺序的循环动力学维持的
Microphase separation in active filament systems is maintained by cyclic dynamics of cluster size and order
论文作者
论文摘要
活性物质中极性植物的发作是不连续的,类似于气体液相变向,只是稳态表现出微相分离为极簇。尽管在理论模型和实验中观察到了这些特征,但对于群集水平的介观过程知之甚少。在这里,我们表明极性的出现和维护受群集的组装和拆卸动力学之间的相互作用,其大小和极阶的程度不同。使用基于代理的与肌动蛋白运动分析相关的参数状态中的驱动细丝的模拟,我们监视簇统计的时间演变和簇之间的细丝的传输过程。我们发现,在广泛的参数范围内,秩序的出现取决于极性簇的成核和生长,其中成核阈值不仅取决于簇的大小,还取决于其极矩。生长涉及群集自我复制,而极性是通过聚类的生长和破碎化确定的。由群集大小和顺序的循环动力学维持,由群集成核,凝结成核,凝结,凝结,碎片和蒸发单个细丝的相互作用驱动。这些发现是通过包含这些基本群集级过程的群集动力学的动力学模型来证实的。它一贯再现群集统计数据,以及从无序到有序簇和背部的循环更新。这种环状动力学过程可以代表维持活性物质系统中秩序的一般机制。
The onset of polar flocking in active matter is discontinuous, akin to gas-liquid phase transitions, except that the steady state exhibits microphase separation into polar clusters. While these features have been observed in theoretical models and experiments, little is known about the underlying mesoscopic processes at the cluster level. Here we show that emergence and maintenance of polar order are governed by the interplay between the assembly and disassembly dynamics of clusters with varying size and degree of polar order. Using agent-based simulations of propelled filaments in a parameter regime relevant for actomyosin motility assays, we monitor the temporal evolution of cluster statistics and the transport processes of filaments between clusters. We find that, over a broad parameter range, the emergence of order is determined by nucleation and growth of polar clusters, where the nucleation threshold depends not only on the cluster size but also on its polar moment. Growth involves cluster self-replication, and polar order is established by cluster growth and fragmentation. Maintenance of the microphase-separated, polar-ordered state results from a cyclic dynamics in cluster size and order, driven by an interplay between cluster nucleation, coagulation, fragmentation and evaporation of single filaments. These findings are corroborated by a kinetic model for the cluster dynamics that includes these elementary cluster-level processes. It consistently reproduces the cluster statistics as well as the cyclic turnover from disordered to ordered clusters and back. Such cyclic kinetic processes could represent a general mechanism for the maintenance of order in active matter systems.