From Self‐Healing to Smart‐Healing: A Self‐Diagnosing and Self‐Healing System Based on Artificial Intelligence

W Wen‐Lin Luo (State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical Engineering Nanjing University Nanjing 210023 P. R. China) Y Yao‐Yao Xu (Key Laboratory of MEMS of Ministry of Education School of Electronic Science and Engineering Southeast University Nanjing 210096 P. R. China) X Xiong Cheng (School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing 210094 P. R. China) F Fang‐Zhou Wang (State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical Engineering Nanjing University Nanjing 210023 P. R. China) D Da‐Ying Sun (School of Microelectronics Nanjing University of Science and Technology Nanjing 210014 P. R. China) X Xiao‐Dong Huang (Key Laboratory of MEMS of Ministry of Education School of Electronic Science and Engineering Southeast University Nanjing 210096 P. R. China) W Wen‐Hua Gu (School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing 210094 P. R. China) C Cheng‐Hui Li (State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and Technology Jiangsu Key Laboratory of Advanced Organic Materials Suzhou Key Laboratory of Green Intelligent Manufacturing of New Energy Materials and Devices Tianchang New Materials and Energy Technology Research Center Institute of Green Chemistry and Engineering School of Chemistry and Chemical Engineering Nanjing University Nanjing Jiangsu 210023...)

Abstract

Abstract Creating materials that can heal themselves while also being strong, stable, and quick to repair presents a major scientific challenge, as existing materials often sacrifice one of these properties for another. To address this limitation, a conductive composite is developed by incorporating ionic liquids into a common plastic. Measurable changes in the material's electrical properties enable damage detection. When a crack is detected, a small electric current is applied to the area, generating localized heat that melts the plastic to seamlessly seal the damage. This process is integrated with an artificial intelligence (AI) system that autonomously detects damage, triggers healing, and confirms repair completion. By establishing a complete perception‐healing‐feedback loop, this work realizes the conceptual leap from self‐healing to smart‐healing, pioneering a new generation of autonomous materials.

Article Details

Volume / Issue Vol. 38, Issue 4
Published January 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (8)

W

Wen‐Lin Luo

State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical Engineering Nanjing University Nanjing 210023 P. R. China

Y

Yao‐Yao Xu

Key Laboratory of MEMS of Ministry of Education School of Electronic Science and Engineering Southeast University Nanjing 210096 P. R. China

X

Xiong Cheng

School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing 210094 P. R. China

F

Fang‐Zhou Wang

State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical Engineering Nanjing University Nanjing 210023 P. R. China

D

Da‐Ying Sun

School of Microelectronics Nanjing University of Science and Technology Nanjing 210014 P. R. China

X

Xiao‐Dong Huang

Key Laboratory of MEMS of Ministry of Education School of Electronic Science and Engineering Southeast University Nanjing 210096 P. R. China

W

Wen‐Hua Gu

School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing 210094 P. R. China

C

Cheng‐Hui Li

State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and Technology Jiangsu Key Laboratory of Advanced Organic Materials Suzhou Key Laboratory of Green Intelligent Manufacturing of New Energy Materials and Devices Tianchang New Materials and Energy Technology Research Center Institute of Green Chemistry and Engineering School of Chemistry and Chemical Engineering Nanjing University Nanjing Jiangsu 210023...