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Updated: May 10, 2026

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Piezochromic hydrogels for physically unclonable optical anti-counterfeiting with machine-learning assisted automatic

Jiayi Yang¹, Jiayu Wu^2,3, Guoliang Xiao¹

¹State Key Laboratory of High Pressure and Superhard Materials, College of Physics, Jilin University, Changchun, China.

Nature Communications

|May 8, 2026

Summary

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This summary is machine-generated.

Researchers developed a secure, uncopiable optical system using piezochromic polymer hydrogels (PPH) for advanced anti-counterfeiting. This technology offers reliable authentication by creating unique, pressure-responsive patterns for enhanced security.

Area of Science:

Materials Science
Optics
Polymer Chemistry

Background:

High-security anticounterfeiting and reliable authentication are crucial to prevent economic losses and information leakage.
Current methods face challenges in achieving robust security and efficient authentication.

Purpose of the Study:

To develop a physically uncopiable optical system for secure anticounterfeiting applications.
To leverage piezochromic polymer hydrogels (PPH) for creating unique and reliably authenticable patterns.

Main Methods:

Utilized piezochromic polymer hydrogels (PPH) that exhibit a pressure-induced emission transition from red to blue.
Engineered stochastic spatial distribution of emissive particles to generate physically unclonable patterns.
Developed a machine learning framework for rapid and robust authentication of the generated patterns.

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Main Results:

Demonstrated a stable, pressure-induced emission transition in PPH from red to blue, retained after pressure release.
Achieved near-ideal randomness, high uniqueness, and reliability in the generated unclonable patterns.
Validated a similarity-based machine learning approach for efficient and objective authentication.

Conclusions:

Piezochromic polymer hydrogels provide a novel platform for physically unclonable optical systems.
The developed system offers a promising solution for secure anticounterfeiting and reliable authentication.
The integration of machine learning enhances the practicality and efficiency of the authentication process.