Local rules for fabricating allosteric networks
Local rules for fabricating allosteric networks
复制标题
DOI：
10.1103/physrevmaterials.5.065607
复制
发表时间：
2021-01
影响因子：
3.4
通讯作者：
Nidhi Pashine
中科院分区：
文献类型：
--
作者：
Nidhi Pashine
无序网络的机械性能可以通过修改其键的一小部分来显着定制。该过程已被用于设计和构建具有各种响应的机械超材料。一个长距离的“变构”反应，其中一个地方的输入应变在一个遥远的网站引起了本地化的输出应变，一直特别感兴趣。这项工作提出了一种新的方法，将变构反应在实验系统中修剪无序网络$\textit{原位}$。以前的工作依赖于计算机模拟来设计和预测这种系统的响应，使用成本函数，其中在每个步骤中使用整个网络对每个键去除的响应来确定修剪哪个键。这是不可行的，遵循这样的设计协议，在实验中，一个只有访问本地响应在每个站点。本文提出的设计算法，允许确定哪些债券修剪纯粹基于网络中的局部应力，而不采用成本函数;仅使用本地信息，变构网络设计的模拟，然后建立了真实的材料。结果表明，一些修剪策略的工作比别人更好时，转化为一个实验系统。提出了一种测量无序网络局部应力的实验方法。然后使用这种方法来实现修剪方法，以设计所需的响应$\textit{in-situ}$。来自这些实验的结果证实了修剪方法是稳健的并且在真实的实验室材料中起作用。
Mechanical properties of disordered networks can be significantly tailored by modifying a small fraction of their bonds. This procedure has been used to design and build mechanical metamaterials with a variety of responses. A long-range 'allosteric' response, where a localized input strain at one site gives rise to a localized output strain at a distant site, has been of particular interest. This work presents a novel approach to incorporating allosteric responses in experimental systems by pruning disordered networks $\textit{in-situ}$. Previous work has relied on computer simulations to design and predict the response of such systems using a cost function where the response of the entire network to each bond removal is used at each step to determine which bond to prune. It is not feasible to follow such a design protocol in experiments where one has access only to local response at each site. This paper presents design algorithms that allow determination of what bonds to prune based purely on the local stresses in the network without employing a cost function; using only local information, allosteric networks are designed in simulations and then built out of real materials. The results show that some pruning strategies work better than others when translated into an experimental system. A method is presented to measure local stresses experimentally in disordered networks. This approach is then used to implement pruning methods to design desired responses $\textit{in-situ}$. Results from these experiments confirm that the pruning methods are robust and work in a real laboratory material.