超材料
材料科学
软机器人
标度系数
可穿戴计算机
人造皮肤
相(物质)
可穿戴技术
应变计
纳米技术
计算机科学
声学
光电子学
生物医学工程
复合材料
人工智能
工程类
嵌入式系统
制作
机器人
物理
病理
医学
量子力学
替代医学
作者
Yun Deng,Xiaogang Guo,Yongshui Lin,Zhixin Huang,Ying Liu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-03-02
卷期号:17 (7): 6423-6434
被引量:4
标识
DOI:10.1021/acsnano.2c11245
摘要
Wearable and stretchable sensors are important components to strictly monitor the behavior and health of humans and attract extensive attention. However, traditional sensors are designed with pure horseshoes or chiral metamaterials, which restrict the biological tissue engineer applications due to their narrow regulation ranges of the elastic modulus and the poorly adjustable Poisson's ratio. Inspired by the biological spiral microstructure, a dual-phase metamaterial (chiral-horseshoes) is designed and fabricated in this work, which possesses wide and programmable mechanical properties by tailoring the geometrical parameters. Experimental, numerical, and theoretical studies are conducted, which reveal that the designed microstructures can reproduce mechanical properties of most natural animals such as frogs, snakes, and rabbits skin. Furthermore, a flexible strain sensor with the gauge factor reaching 2 under 35% strain is fabricated, which indicates that the dual-phase metamaterials have a stable monitoring ability and can be potentially applied in the electronic skin. Finally, the flexible strain sensor is attached on the human skin, and it can successfully monitor the physiological behavior signals under various actions. In addition, the dual-phase metamaterial could combine with artificial intelligence algorithms to fabricate a flexible stretchable display. The dual-phase metamaterial with negative Poisson's ratio could decrease the lateral shrinkage and image distortion during the stretching process. This study offers a strategy for designing the flexible strain sensors with programmable, tunable mechanical properties, and the fabricated soft and high-precision wearable strain sensor can accurately monitor the skin signals under different human motions and potentially be applied for flexible display.
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