论文标题

合作动作和拓扑驱动的动态逮捕

Cooperative Motions and Topology-Driven Dynamical Arrest in Prime Knots

论文作者

Park, Hyo Jung, Lappala, Anna

论文摘要

结是纠缠的结构,如果没有切割就无法弄清楚。结的拓扑稳定性是其重要特性的众多示例之一,可用于信息存储和传输。结动力学对于理解纠缠的一般原理很重要,因为结提供了一个孤立的系统,在该系统中,缠结受到高度控制且易于操纵。为了解开这些纠缠拓扑对象的动力学,第一步是确定以结结构及其复杂性为指导的主要动作。我们将动作识别为三个主要群体 - 正交,对齐和混合运动,这些动作通常是一致的,策划了结的复杂动力学。这些动作之间的平衡是为每个结创造可识别的签名。随着结的复杂性的增加,精心策划的动力学逐渐沉默,最终达到了拓扑驱动的动力停滞状态。根据它们的复杂性,打结从几乎随机运动到非随机运动,甚至是准二体动力学的过渡,然后再达到动态停滞。在这里,我们首次表明,仅连通性就可以导致高复杂性的结中拓扑驱动的动态停滞。出乎意料的是,我们注意到一些结在达到更高的复杂性时会进行合作运动,从而独特地调节给定结的构象模式。这些发现一起展示了拓扑与动态之间的联系,并向纳米级材料展示了应用。

Knots are entangled structures that cannot be untangled without a cut. Topological stability of knots is one of the many examples of their important properties that can be used in information storage and transfer. Knot dynamics is important for understanding general principles of entanglement as knots provide an isolated system where tangles are highly controlled and easily manipulated. To unravel the dynamics of these entangled topological objects, the first step is to identify the dominant motions that are uniquely guided by knot structure and its complexity. We identify and classify motions into three main groups -- orthogonal, aligned, and mixed motions, which often act in unison, orchestrating the complex dynamics of knots. The balance between these motions is what creates an identifiable signature for every knot. As knot complexity increases, the carefully orchestrated dynamics is gradually silenced, eventually reaching a state of topologically driven dynamical arrest. Depending on their complexity, knots undergo a transition from nearly stochastic motions to either non-random or even quasiperiodic dynamics before culminating in dynamical arrest. Here, we show for the first time that connectivity alone can lead to a topology-driven dynamical arrest in knots of high complexity. Unexpectedly, we noticed that some knots undergo cooperative motions as they reach higher complexity, uniquely modulating conformational patterns of a given knot. Together, these findings demonstrate a link between topology and dynamics, presenting applications to nanoscale materials.

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