What question did this study set out to answer?

The research aims to develop flexible anti-counterfeiting labels using structurally colored physically unclonable functions for enhanced security.

April 4, 2026MaterialsOpen Access

Flexible and Physically Unclonable Function Anti-Counterfeiting Labels via Multi-Level Dynamic Structural Color Encryption

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Authors

JLJunzhe LinBeijing University of Technology MZMin ZhaoPLA Information Engineering University XZXueqing ZhuBeijing University of Technology

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Implication

Demonstrates multi-level dynamic encryption in flexible labels using structural color PUFs, suggesting a novel solution for anti-counterfeiting applications.

Key Points

The research aims to develop flexible anti-counterfeiting labels using structurally colored physically unclonable functions for enhanced security.
Developed stress-relief modulated photonic crystal PUF labels for encryption.
Utilized curved pinning edge-induced interruptions to create random nanograting patterns.
Implemented artificial intelligence-based deep learning algorithms for label authentication.
Integrated photonic crystal patterns with optical erasure for dynamic encryption.
Successfully created flexible PUF labels with enhanced dynamic encryption capabilities.
Achieved random patterning of photonic crystals for varied structural characteristics.
Demonstrated the use of deep learning algorithms to authenticate labels based on structural color features.

Cite This Study

Lin et al. (2026) studied this question.

synapsesocial.com/papers/69d0afc7659487ece0fa5e3e https://doi.org/10.3390/ma19071428

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April 4, 2026MaterialsOpen Access

Flexible and Physically Unclonable Function Anti-Counterfeiting Labels via Multi-Level Dynamic Structural Color Encryption

View Full Paper

Ask AI

Bookmark

Authors

JLJunzhe LinBeijing University of Technology MZMin ZhaoPLA Information Engineering University XZXueqing ZhuBeijing University of Technology

Discussion

Member takes

Implication

Demonstrates multi-level dynamic encryption in flexible labels using structural color PUFs, suggesting a novel solution for anti-counterfeiting applications.

Key Points

The research aims to develop flexible anti-counterfeiting labels using structurally colored physically unclonable functions for enhanced security.
Developed stress-relief modulated photonic crystal PUF labels for encryption.
Utilized curved pinning edge-induced interruptions to create random nanograting patterns.
Implemented artificial intelligence-based deep learning algorithms for label authentication.
Integrated photonic crystal patterns with optical erasure for dynamic encryption.
Successfully created flexible PUF labels with enhanced dynamic encryption capabilities.
Achieved random patterning of photonic crystals for varied structural characteristics.
Demonstrated the use of deep learning algorithms to authenticate labels based on structural color features.

Cite This Study

Lin et al. (2026) studied this question.

synapsesocial.com/papers/69d0afc7659487ece0fa5e3e https://doi.org/10.3390/ma19071428

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