Robust Self‐Healing Polyurethane‐Based Solid‐State Ion‐Conductive Elastomers with Exceptional Strength and Ionic Conductivity for Multifunctional Strain Sensors and Triboelectric Nanogenerators

C Changsheng Wang X Xiwei Xu Z Ziqian Wang (Department of Pharmacology, SUSTech Homeostatic Medicine Institute, School of Medicine) J Jingjing Tang F Fuqi Wang (School of Resources Environment and Materials Guangxi University Nanning Guangxi 530004 China) Z Zhecheng Hu (School of Resources Environment and Materials Guangxi University Nanning Guangxi 530004 China) Y Yuxuan Xie (Soochow Institute for Energy and Materials InnovationS (SIEMIS)) W Wei Gao Z Zequan Li S Shuangliang Zhao

Abstract

Abstract Flexible ionic conductors hold potential for wearable sensors and energy harvesting. However, most gel‐based conductors suffer from solvent evaporation and liquid leakage, limiting practical applications. Although solid‐state ionic conductors mitigate these issues, achieving strong mechanics, high conductivity, self‐healing, and stability remains challenging. Here, by integrating supramolecular engineering and dynamic covalent adaptive networks, a self‐healing polyurethane‐based solid‐state ion‐conductive elastomer (DACPU/100Li) with outstanding overall properties is successfully synthesized. DACPU/100Li exhibits ultrahigh ionic conductivity (1.23 × 10 − 3 S cm −1 ) and high tensile strength (7.62 MPa), along with an elongation at break of 1200%. Additionally, it exhibits excellent tear resistance and a fracture energy of 45.6 kJ m − 2 , along with 96% self‐healing efficiency (after self‐healing at 120 °C for 24 h), good recyclability, and stability under extreme conditions. The DACPU/100Li‐based sensor has high sensitivity (5.89) and a wide strain range (0.1–1000%). Integrated with machine learning, it enables precise gesture recognition and human–machine interaction. Furthermore, the triboelectric nanogenerator based on DACPU/100Li achieves a high power density of 3.87 W m − 2 . It harvests energy from body motion to power small devices and aids object recognition via machine learning. It is believed that these solid‐state ion‐conductive elastomers provide new opportunities for wearable electronics, energy harvesting, and ionotronics.

Article Details

Volume / Issue Vol. 37, Issue 32
Published August 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (10)

C

Changsheng Wang

X

Xiwei Xu

Z

Ziqian Wang

Department of Pharmacology, SUSTech Homeostatic Medicine Institute, School of Medicine

J

Jingjing Tang

F

Fuqi Wang

School of Resources Environment and Materials Guangxi University Nanning Guangxi 530004 China

Z

Zhecheng Hu

School of Resources Environment and Materials Guangxi University Nanning Guangxi 530004 China

Y

Yuxuan Xie

Soochow Institute for Energy and Materials InnovationS (SIEMIS)

W

Wei Gao

Z

Zequan Li

S

Shuangliang Zhao