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基于二维材料的机械传感器:传感机制、结构设计及可穿戴应用

Mechanical sensors based on two-dimensional materials: Sensing mechanisms, structural designs and wearable applications.

作者信息

Yang Tingting, Jiang Xin, Huang Yuehua, Tian Qiong, Zhang Li, Dai Zhaohe, Zhu Hongwei

机构信息

Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.

State Key Lab of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China.

出版信息

iScience. 2022 Jan 1;25(1):103728. doi: 10.1016/j.isci.2021.103728. eCollection 2022 Jan 21.

Abstract

Compared with bulk materials, atomically thin two-dimensional (2D) crystals possess a range of unique mechanical properties, including relatively high in-plane stiffness and large bending flexibility. The atomic 2D building blocks can be reassembled into precisely designed heterogeneous composite structures of various geometries with customized mechanical sensing behaviors. Due to their small specific density, high flexibility, and environmental adaptability, mechanical sensors based on 2D materials can conform to soft and curved surfaces, thus providing suitable solutions for functional applications in future wearable devices. In this review, we summarize the latest developments in mechanical sensors based on 2D materials from the perspective of function-oriented applications. First, typical mechanical sensing mechanisms are introduced. Second, we attempt to establish a correspondence between typical structure designs and the performance/multi-functions of the devices. Afterward, several particularly promising areas for potential applications are discussed, following which we present perspectives on current challenges and future opportunities.

摘要

与块状材料相比,原子级薄的二维(2D)晶体具有一系列独特的机械性能,包括相对较高的面内刚度和较大的弯曲柔韧性。原子级二维构建块可以重新组装成具有定制机械传感行为的各种几何形状的精确设计的异质复合结构。由于其低比重、高柔韧性和环境适应性,基于二维材料的机械传感器可以贴合柔软和弯曲的表面,从而为未来可穿戴设备中的功能应用提供合适的解决方案。在这篇综述中,我们从功能导向应用的角度总结了基于二维材料的机械传感器的最新进展。首先,介绍了典型的机械传感机制。其次,我们试图建立典型结构设计与器件性能/多功能之间的对应关系。之后,讨论了几个特别有前景的潜在应用领域,随后我们对当前的挑战和未来的机遇提出了看法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4182/8762477/b3b0a6f92dd6/fx1.jpg

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