journal article·2025-03Open access

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Abidin Esidir, Miaoning Ren, Sami Pekdemir, Mustafa Kalay, Nilgun Kayaci, Nail Gunaltay, Hakan Usta, Xian Huang, Mustafa Serdar Onses

Advanced Functional Materials· Volume 35· Issue 12

Abstract

Abstract Identity security and counterfeiting assume a critical importance in the digitized world. An effective approach to addressing these issues is the use of physically unclonable functions (PUFs). The overarching challenge is a simultaneous combination of extremely high encoding capacity, stable operation, practical fabrication, and a widely available readout mechanism. Herein this challenge is addressed by designing an optical PUF via exploiting the thickness‐dependent structural color formation in nanoscopic films of ZnO. The structural coloration ensures authentication using widely available bright‐field‐based optical readout, whereas the metal oxide provides a high degree of structural stability. True physical randomness in spatial position is achieved by physical vapor deposition of ZnO through stencil masks that are fabricated by pore formation in polycarbonate membranes via photothermal processing of stochastically positioned plasmonic nanoparticles. Structural coloration emerges from thin film interference as confirmed via simulation studies. The rich color variation and stochastic definition of domain size and geometry result in chaotic features with an encoding capacity that approaches (6.4 × 10 5 ) (2752×2208) . Deep learning‐based authentication is further demonstrated by transforming these chaotic features into unbreakable codes without field limitations. This ultra‐rich encoding capacity, coupled with outstanding thermal and chemical stability, forms a new cutting edge for state‐of‐the‐art PUF‐based encoding systems.
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Research context

OpenAlex topics: Physical Unclonable Functions (PUFs) and Hardware Security · Advanced Memory and Neural Computing · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

ERNAM – Nanotechnology Research and Application Center Erciyes University Kayseri 38039 Turkey

Department of Materials Science and Engineering Erciyes University Kayseri 38039 Turkey

The Scientific and Technological Research Council of Turkey Ankara 06680 Turkey

Erciyes University Graduate School of Natural and Applied Science Materials Science and Engineering Program Kayseri 38039 Turkey

School of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin 300072 China

State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China

Department of Aeronautical Engineering Faculty of Aeronautics and Astronautics Erciyes University Kayseri 38039 Turkey

Department of Electricity and Energy Kayseri University Kayseri 38039 Turkey

Department of Materials Science and Nanotechnology Engineering Abdullah Gül University Kayseri 38080 Turkey

UNAM‐National Nanotechnology Research Center Institute of Materials Science and Nanotechnology Bilkent University Ankara 06800 Turkey

Funding

Bilimsel Araştırma Projeleri, Erciyes Üniversitesi · Key Research and Development Program of Zhejiang Province · National Natural Science Foundation of China · Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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