Tri-functional metasurface enhanced with a physically unclonable function

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Tri-functional metasurface enhanced with a physically unclonable function
Title:
Tri-functional metasurface enhanced with a physically unclonable function
Journal Title:
Materials Today
Publication Date:
30 November 2022
Citation:
Daqiqeh Rezaei, S., Dong, Z., Wang, H., Xu, J., Wang, H., Tavakkoli Yaraki, M., Choon Hwa Goh, K., Zhang, W., Ghorbani, S. R., Liu, X., & Yang, J. K. W. (2023). Tri-functional metasurface enhanced with a physically unclonable function. Materials Today, 62, 51–61. https://doi.org/10.1016/j.mattod.2022.11.010
Abstract:
In optical anti-counterfeiting, several distinct optically variable devices (OVDs) are often concurrently employed to compensate for the insufficient security level of constituent OVDs. Alternatively, metasurfaces that exhibit multiple optical responses effectively combine multiple OVDs into one, thus significantly enhancing their security and hindering fraudulent replication. This work demonstrates the simultaneous control of three separate optical responses, i.e., phase, amplitude, and luminescence, using anisotropic gap-plasmon metasurfaces. Due to the incorporated geometric anisotropy, the designed structure exhibits distinct responses under x- and y-polarized light, revealing either a color image, or a holographic projection in the far-field. Furthermore, inserting upconversion nanoparticles (UCNPs) into the dielectric gaps of the structures, the designed metasurface is able to generate a third luminescent image upon illumination with the near-infrared light. The stochastic distribution of the UCNPs constitutes a unique “fingerprint”, achieving a physically unclonable function (PUF) layer. Crucially, our triple-mode metasurface requires only readily attainable equipment such as a macro-lens/camera and a laser pointer to read most of the channels, thus paving the way towards highly secure and easy-to-authenticate metasurface-driven OVDs (mOVDs).
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the National Research Foundation - Competitive Research Programme
Grant Reference no. : NRF-CRP001-021

This research / project is supported by the National Research Foundation - Competitive Research Programme
Grant Reference no. : CRP20-2017-0004

This research / project is supported by the National Research Foundation - NRF Investigatorship Award
Grant Reference no. : NRF-NRFI06-2020-0005

This research / project is supported by the A*STAR - AME Individual Research Grants (IRG)
Grant Reference no. : A20E5c0093

This research / project is supported by the A*STAR - CDA
Grant Reference no. : C210112019

This research / project is supported by the A*STAR - MTC Individual Research Grants (IRG)
Grant Reference no. : M21K2c0116
Description:
ISSN:
1369-7021
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