TY - JOUR
T1 - Autonomous self-healing and stretchable triboelectric nanogenerator with hybrid double-network elastomer for self-powered multifunctional electronics
AU - Pandey, Puran
AU - Seo, Min Kyu
AU - Jo, Seunghwan
AU - Shrestha, Kumar
AU - Lee, Juwon
AU - Sohn, Jung Inn
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/10
Y1 - 2025/10
N2 - 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.
AB - 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.
KW - Deep learning
KW - Double network elastomer
KW - Handwriting recognition
KW - Self-healing Ecoflex
KW - Self-healing TENG
UR - https://www.scopus.com/pages/publications/105017564891
U2 - 10.1007/s42114-025-01479-8
DO - 10.1007/s42114-025-01479-8
M3 - Article
AN - SCOPUS:105017564891
SN - 2522-0128
VL - 8
JO - Advanced Composites and Hybrid Materials
JF - Advanced Composites and Hybrid Materials
IS - 5
M1 - 389
ER -