摩擦电效应
纳米发生器
弹性体
数码产品
材料科学
电容器
电容感应
可穿戴计算机
墨水池
可穿戴技术
触觉传感器
计算机科学
功率(物理)
佩多:嘘
机械能
签名(拓扑)
机械系统
直流电动机
人工智能应用
人工智能
电子工程
电子皮肤
手写体识别
人工肌肉
微执行器
电容
电气工程
作者
Puran Pandey,Min-Kyu Seo,Seunghwan Jo,Kumar Shrestha,Juwon Lee,Jung Inn Sohn
标识
DOI:10.1007/s42114-025-01479-8
摘要
Despite the widespread interest in triboelectric nanogenerators (TENGs) for self-powered wearable electronics, the development of TENGs that effectively combine self-healing and robust mechanical properties remains challenging. Herein, we report an autonomous fully self-healing TENG (SH − TENG) with excellent mechanical properties for multifunctional self-powered applications. The SH − TENG is fabricated using a self-healing Ecoflex (SH − Ecoflex) synthesized through the polymerization of an Ecoflex–polyborosiloxane (PBS) hybrid double network elastomer. The SH − Ecoflex exhibits high tensile strength, exceptional stretchability (590%), and autonomous mechanical self-healing efficiency (68% in 2 h). The SH − TENG efficiently harvests mechanical energy (269.1 mW/m2), autonomously recovers its performance even after damage or mechanical deformation, and maintains durable performance over 12,000 contact-separation cycles. The SH − TENG effectively charges the capacitor within a short time to power the digital thermo-hygrometer, and offers self-powered sensing functionality to monitor human joint movements. Furthermore, the handwriting touch panel is designed with a diagonal strip-void electrode-based SH − TENG to enhance the perception of finger sliding and generate a distinct electrical signal for each handwritten letter. Through the integration of a deep learning model, an advanced handwriting recognition system has been developed to recognize five handwritten letters with an average accuracy of 99%, demonstrating its potential for future applications in intelligent tactile perception and human–machine interaction, as well as signature and user recognition systems.
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