Towards heterotic computing with droplets in a fully automated droplet-maker platform
Towards heterotic computing with droplets in a fully automated droplet-maker platform
复制标题
在全自动液滴生成器平台中利用液滴进行异质计算
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
L. Cronin
中科院分区：
文献类型：
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作者：
Alon Henson;Juan Manuel Parrilla Gutierrez;T. Hinkley;S. Tsuda;L. Cronin
复杂化学系统的控制和预测是一个困难的问题，由于相互作用，转换和过程发生的性质。从自组装到催化和自组织，复杂的化学系统通常是异质混合物，在最极端的情况下表现出系统级功能，例如可以在活细胞中观察到的功能。在本文中，我们概述了一种方法来理解和探索复杂的化学系统，使用自动化液滴制造商控制的组成，大小和位置的液滴在预定义的化学环境。通过研究液滴的时空动力学，目的是了解如何控制复杂化学行为的系统级出现，甚至将系统级行为视为能够进行信息处理的可编程实体。在这里，我们探讨了我们的自动化液滴制造商平台如何可以被视为一个原型化学杂种优势计算机与一些初始数据和示例问题，可以被视为潜在的化学体现计算。
The control and prediction of complex chemical systems is a difficult problem due to the nature of the interactions, transformations and processes occurring. From self-assembly to catalysis and self-organization, complex chemical systems are often heterogeneous mixtures that at the most extreme exhibit system-level functions, such as those that could be observed in a living cell. In this paper, we outline an approach to understand and explore complex chemical systems using an automated droplet maker to control the composition, size and position of the droplets in a predefined chemical environment. By investigating the spatio-temporal dynamics of the droplets, the aim is to understand how to control system-level emergence of complex chemical behaviour and even view the system-level behaviour as a programmable entity capable of information processing. Herein, we explore how our automated droplet-maker platform could be viewed as a prototype chemical heterotic computer with some initial data and example problems that may be viewed as potential chemically embodied computations.