材料科学
软机器人
接口
自愈水凝胶
可穿戴技术
标度系数
数码产品
纳米技术
灵敏度(控制系统)
可穿戴计算机
导电体
计算机科学
嵌入式系统
计算机硬件
人工智能
机器人
电气工程
复合材料
制作
电子工程
工程类
病理
高分子化学
医学
替代医学
作者
Fengling Zhuo,J.B. Zhou,Ying Liu,Jianfei Xie,Hui Chen,Xiaozhi Wang,Jikui Luo,Yongqing Fu,Ahmed Elmarakbi,Huigao Duan
标识
DOI:10.1002/adfm.202308487
摘要
Abstract Conductive hydrogels are compelling materials for the development of soft electronics; however, their essential attributes such as high sensitivity, excellent stretchability, and environmental stability have rarely been achieved simultaneously in one hydrogel. Herein, a Kirigami‐inspired strategy is proposed to improve organohydrogel sensitivity without sacrificing their mechanical stretchability and environmental stability . The organohydrogels with multiple interpenetrating networks are synthesized by introducing sodium alginate nanofibrils and conductive MXene nanoflakes into polymer double networks infiltrated with glycerol–water mixtures, featuring remarkable stretchability (>5000%), good sensitivity, and water retention (>30 days). The Kirigami structures are further applied to enhance strain sensitivity, achieving a gauge factor of 29.1, which is ≈5.5 times that of an unstructured organohydrogel. Using the Kirigami‐inspired sensors, a durable glove is developed for grabbing underwater objects through operating a robotic arm, demonstrating a subaqueous interactive human–machine interfacing.Meanwhile, by integrating the wearable sensor with a machine learning algorithm, a wearable Morse code intelligent recognition system is demonstrated, enabling real‐time conversion of Morse code signs into speech with superior recognition accuracy (>99%) and fast response time (≈17 ms). This work offers a new route to synthesize highly sensitive, stretchable, and extremely tolerant organohydrogels, providing a promising platform for next‐generation soft electronics.
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