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

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.

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Publication Details

Journal
Advanced Materials
Published
2025-10-12
DOI
https://doi.org/10.1002/adma.202513641
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Daying Sun, Xiong Cheng, Xiao-Dong Huang, Fang‐Zhou Wang et al.
Advanced Materials
Knowledge Management and Technology
article

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

Daying Sun, Xiong Cheng, Xiao-Dong Huang, Fang‐Zhou Wang, Wenhua Gu, Cheng‐Hui Li, Yao‐Yao Xu, Weiliang Luo
article en

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.

Advanced MaterialsVol. 38(4)
Nanjing University of Science and Technology (CN), Ministry of Education (BD), Southeast University (CN), Nanjing University (CN)
Openalex Percentile: Top 66%
Knowledge Management and Technology
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