无序弹性网络中训练变构激发的机械响应

IF 2.9 3区化学 Q3 CHEMISTRY, PHYSICAL

Soft Matter Pub Date : 2025-04-04 DOI:10.1039/D4SM01340A

Savannah D. Gowen

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引用次数: 0

摘要

无序弹性网络是一种模型材料系统，它可以实现可调和可训练的功能。这项工作研究了受蛋白质变构相互作用启发的无序网络中局部力学特性的改变：在一组源节点上局部施加应变，会触发一组远处目标节点的应变响应。这首先是通过使用定向老化来改变遥远源和目标节点对之间现有的机械耦合来证明的，后来作为一种诱导以前孤立的源-目标对之间耦合的手段。实验结果与仿真结果进行了比较。

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Training allostery-inspired mechanical response in disordered elastic networks

Disordered elastic networks are a model material system in which it is possible to achieve tunable and trainable functions. This work investigates the modification of local mechanical properties in disordered networks inspired by allosteric interactions in proteins: applying strain locally to a set of source nodes triggers a strain response at a distant set of target nodes. This is demonstrated first by using directed aging to modify the existing mechanical coupling between pairs of distant source and target nodes, and later as a means for inducing coupling between formerly isolated source-target pairs. The experimental results are compared with those predicted by simulations.

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来源期刊

Soft Matter 工程技术-材料科学：综合

CiteScore

6.00

自引率

5.90%

发文量

891

审稿时长

1.9 months

期刊介绍： Soft Matter is an international journal published by the Royal Society of Chemistry using Engineering-Materials Science: A Synthesis as its research focus. It publishes original research articles, review articles, and synthesis articles related to this field, reporting the latest discoveries in the relevant theoretical, practical, and applied disciplines in a timely manner, and aims to promote the rapid exchange of scientific information in this subject area. The journal is an open access journal. The journal is an open access journal and has not been placed on the alert list in the last three years.