Bifurcation instructed design of multistate machines
Bifurcation instructed design of multistate machines
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DOI：
10.1073/pnas.2300081120
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发表时间：
2023-01
影响因子：
11.1
通讯作者：
Te-bo Yang;David Hathcock;Yu-Chiang Chen;P. McEuen;J. Sethna;I. Cohen;Itay Griniasty
中科院分区：
文献类型：
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作者：
Te-bo Yang;David Hathcock;Yu-Chiang Chen;P. McEuen;J. Sethna;I. Cohen;Itay Griniasty
由许多相互作用的元素组成的系统，如超材料机器人，蛋白质和神经网络，通常不适合分区设计：其中每个模块都执行一个不同的子功能，并组成一个复杂的功能。在这里，我们追求一种替代的设计范式，机器的功能产生于所有机器组件的相互作用，机器的操作由多个平衡的分叉来组织。这些特殊点允许通过仅少量控制参数的微小变化在多个不同状态之间稳健地循环。我们说明了这种方法在一个简单的磁致弹性机，并讨论其影响的微观机器人和蛋白质机器的设计。
Significance Systems composed of many interacting elements that collaboratively generate a function, such as meta-material robots, proteins, and neural networks are often not amenable to compartmentalized design: where individual modules each perform a distinct subfunction and are composed to create a complex function. Here, we pursue an alternative design paradigm where the function of machines arises from interactions of all the machine components, and the operation of the machine is organized by a bifurcation of multiple equilibria. These special points allow for robustly cycling between multiple distinct states by a small change of only a few control parameters. We illustrate this approach on a simple magnetoelastic machine and discuss its implications for the design of microscopic robots and protein-based machines.