Autonomous self-healing and stretchable triboelectric nanogenerator with hybrid double-network elastomer for self-powered multifunctional electronics

Abstract

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.