非互惠多样自组织
Non-reciprocal multifarious self-organization
摘要：
生命系统的一个标志是能够使用一组通用的构建块，这些构建块可以以一种可以以最小成本控制的方式自组织成多种不同的结构。这种能力只能在非平衡条件下才能提供，这从过多的这种动态过程的能量消耗性质中可以看出。在过去的三十年里，随着工具的发展，合成自组装经历了一个显着的推动，以设计不同尺度的特定相互作用，从核酸和肽到蛋白质和胶体。为了实现这种自组装结构和它们之间的过渡的自动化动态控制，我们需要确定非平衡动力学的相关基本方面，可以使这样的过程。在这里，我们确定可编程的非互惠互动作为一个潜在的范例，使用这些功能可以实现。特别是，我们提出了一个模型，使系统能够学习和检索预定的所需结构和它们之间的过渡，从而表现为一个变形。学习规则由导致结构的平衡组装的相互作用和引起结构之间的非平衡动力学转变的非相互作用组成。
英文摘要：
A hallmark of living systems is the ability to employ a common set of versatile building blocks that can self-organize into a multitude of different structures, in a way that can be controlled with minimal cost. This capability can only be afforded in non-equilibrium conditions, as evident from the energy-consuming nature of the plethora of such dynamical processes. In the last three decades, synthetic self-assembly has experienced a significant boost with the development of tools to design specific interactions at different scales, from nucleic acids and peptides to proteins and colloids. To achieve automated dynamical control of such self-assembled structures and transitions between them, we need to identify the relevant fundamental aspects of non-equilibrium dynamics that can enable such processes. Here, we identify programmable non-reciprocal interactions as a potential paradigm using which such functionalities can be achieved. In particular, we propose a model that enables a system to learn and retrieve predetermined desired structures and transition between them, thus behaving as a shape-shifter. The learning rule is composed of reciprocal interactions that lead to the equilibrium assembly of the structures, and non-reciprocal interactions that give rise to non-equilibrium dynamical transitions between the structures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
