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Recent Progress in Mechanoluminescence for Multi-Dimensional Stress Monitoring
Xiuxia Yang1, Ting Wang2, Lei Zhao3
1Faculty of Materials Science and Engineering, Key Laboratory of Advanced Materials of Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan, 650093, P. R. China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|December 8, 2025
Summary
Mechanoluminescence (ML) materials offer advanced stress-to-light conversion for multi-dimensional imaging. Innovations in material design enhance ML performance, enabling sophisticated stress visualization across various applications.
Area of Science:
- Materials Science
- Nanotechnology
- Optoelectronics
Background:
- Mechanoluminescence (ML) materials exhibit stress-to-light conversion, advancing stress sensing from single-point to multi-dimensional imaging.
- Material defect engineering, ion doping, and heterostructure design have improved ML material properties like luminosity and stability.
Purpose of the Study:
- To systematically analyze the stress response mechanisms and visual behavior of ML materials across different spatial dimensions (0D, 1D, 2D, 3D).
- To provide a comprehensive review of material design, device integration, and application scenarios for multi-dimensional stress sensing.
Main Methods:
- Review of recent advances in material defect engineering, ion doping, and heterostructure design for ML materials.
- Analysis of material design principles, device integration methods, and application scenarios for 0D, 1D, 2D, and 3D stress sensing.
- Discussion of challenges and proposed solutions in multi-dimensional stress sensing.
Main Results:
- Recent material science advancements have significantly improved ML material performance (luminosity, kinetics, stability).
- These enhancements provide a foundation for multimodal stress visualization in diverse applications.
- Targeted solutions are proposed for challenges in material performance, device integration, and data processing.
Conclusions:
- Multi-dimensional stress visualization technologies are advancing rapidly due to improved ML materials.
- Future development will focus on higher spatial resolution for applications in intelligent diagnosis, biomechanics, and extreme environmental monitoring.
- This review offers a theoretical framework and technical support for future multi-dimensional stress visualization detection.
