Anti‐Counterfeiting White Light Printed Image Multiplexing by Fast Nanosecond Laser Processing

Dalloz, Nicolas; Le, Van Doan; Hébert, Mathieu; Éles, Bálint; Figueroa, Manuel; Hubert, Christophe; Ma, Hongfeng; Sharma, Nipun; Vocanson, Francis; Ayala, Stéphane; Destouches, Nathalie

doi:10.1002/adma.202104054

Cited by 33 publications

(31 citation statements)

References 58 publications

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“…In this study, we use the same kind of laserprocessed Ag NPs:TiO 2 metasurfaces as those used in our recent article demonstrating laser-induced three-printed image multiplexing. 12 9,600 different random plasmonic metasurfaces (RPMs) are produced experimentally by varying five laser- processing parameters whose values are given in Supporting Information Figure S1. The RPMs consist of a thin TiO 2 layer encapsulating Ag nanoparticles whose size distribution, anisotropy, and spatial distribution vary with the laserprocessing parameters (scanning electron microscopy images of a selection of RPMs are shown in Supporting Information Figure S2 for illustration).…”

Section: Resultsmentioning

confidence: 99%

“…More complex color trees can be found in references. 11,12 A simple and compact algorithm is proposed to mine the simulated color sets and find out all of the solutions for two-image multiplexing with two colors per mode. The algorithm contains three main steps described hereafter.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, we use the same kind of laser-processed Ag NPs:TiO 2 metasurfaces as those used in our recent article demonstrating laser-induced three-printed image multiplexing . 9,600 different random plasmonic metasurfaces (RPMs) are produced experimentally by varying five laser-processing parameters whose values are given in Supporting Information Figure S1.…”

Section: Resultsmentioning

confidence: 99%

“…Recently, plasmonic random metasurfaces produced by laser over large areas have demonstrated peculiar metamerism enabling three-image multiplexing, where images are demultiplexed by the naked eye under natural light. , This approach greatly expands the scope of image multiplexing compared to techniques involving holographic images − or printed images ,,− encoded with well-controlled plasmonic metasurfaces on small areas. Laser processing is easy to implement on large surfaces, cost-effective, rapid, and flexible, and it allows creating subwavelength gratings with a precise control of their orientation at the micrometer scale thanks to laser-induced self-organization mechanisms. − However, unlike usual metasurfaces, laser-induced random plasmonic metasurfaces are characterized by statistical parameters, due to the size inhomogeneity and spatial disorder, which are difficult to measure, and to predict.…”

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confidence: 99%

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Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Dalloz

Habrard

et al. 2022

ACS Nano

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Structural colors of plasmonic metasurfaces have been promised to a strong technological impact thanks to their high brightness, durability, and dichroic properties. However, fabricating metasurfaces whose spatial distribution must be customized at each implementation and over large areas is still a challenge. Since the demonstration of printed image multiplexing on quasi-random plasmonic metasurfaces, laser processing appears as a promising technology to reach the right level of accuracy and versatility. The main limit comes from the absence of physical models to predict the optical properties that can emerge from the laser processing of metasurfaces in which random metallic nanostructures are characterized by their statistical properties. Here, we demonstrate that deep neural networks trained from experimental data can predict the spectra and colors of laser-induced plasmonic metasurfaces in various observation modes. With thousands of experimental data, produced in a rapid and efficient way, the training accuracy is better than the perceptual just noticeable change. This accuracy enables the use of the predicted continuous color charts to find solutions for printing multiplexed images. Our deep learning approach is validated by an experimental demonstration of laser-induced two-image multiplexing. This approach greatly improves the performance of the laser-processing technology for both printing color images and finding optimized parameters for multiplexing. The article also provides a simple mining algorithm for implementing multiplexing with multiple observation modes and colors from any printing technology. This study can improve the optimization of laser processes for high-end applications in security, entertainment, or data storage.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Dalloz

Habrard

et al. 2022

ACS Nano

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“…Benefiting from the high information capacity of metasurface-assisted devices, high-density image displays and storages can be readily achieved. Nanoprinting [17][18][19][20][21][22][23][24][25] and holographic displaying [26][27][28][29][30][31] are typical representations of metasurfacebased image display. Recently, integrating the functionalities of printed and holographic displaying into a single device has become a research spot, since it can undoubtedly expand the functionality and increase the information capacity of metasurface-based image displays.…”

Section: Introductionmentioning

confidence: 99%

Multifold Integration of Printed and Holographic Meta‐Image Displays Enabled by Dual‐Degeneracy

Zhou

Wang

Chen

et al. 2022

Small

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By virtue of the unprecedented ability of manipulating the optical parameters, metasurfaces open up a new avenue for realizing ultra‐compact image displays, e.g., nanoprinting on the surface and holographic displaying in the far‐field. The multifold integration of these two functions into a single metasurface can undoubtedly expand the functionality and increase the information capacity. In this study, a minimalist tri‐channel metasurface is proposed and experimentally demonstrated with multifold integration of printed and holographic displaying, which can generate two N‐bit grayscale images and a four‐step holographic image simultaneously. Benefiting from exploiting the degeneracy of energy allocation and the degeneracy of nanostructure orientations, the functionalities of nanoprinting and holography are combined without the need of a large amount of nanostructures with varied dimensions, which would facilitate both the metasurface design and fabrication. The proposed scheme provides a new idea in enhancing the functionality and capacity of metasurfaces without complicating their design, which has promising prospects for applications in ultra‐compact image displays, high‐density optical storage, optical anti‐counterfeiting and many other related fields.

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Liquid‐Assisted Laser Nanotexturing of Silicon: Onset of Hydrodynamic Processes Regulated by Laser‐Induced Periodic Surface Structures

Borodaenko,

Pavlov,

Cherepakhin

et al. 2024

Adv Materials Technologies

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Upon systematic studies of femtosecond‐laser processing of monocrystalline Si in oxidation‐preventing methanol, it is shown that the electromagnetic processes dominating at initial steps of the progressive morphology evolution define the onset of the hydrodynamic processes and morphology upon subsequent multi‐pulse exposure. Under promoted exposure quasi‐regular subwavelength laser‐induced periodic surface structures (LIPSSs) are justified to evolve through the template‐assisted development of the Rayleigh‐Plateau hydrodynamic instability in the molten ridges forming quasi‐regular patterns with a supra‐wavelength periodicity and preferential alignment along polarization direction of the incident light. Subsequent exposure promotes fusion‐assisted morphology rearrangement resulting in a spiky surface with random orientation, yet constant inter‐structure distance correlated with initial LIPSS periodicity. Along with the insight onto the physical picture driving the morphology evolution and supra‐wavelength nanostructure formation, this experiments also demonstrated that resulting quasi‐regular and random spiky morphology can be tailored by the intensity/polarization distribution of incident laser beam allowing on‐demand surface nanotexturing with diverse hierarchical surface morphologies exhibiting reduced reflectivity at visible and shortwave‐IR wavelengths. Finally, the practical attractiveness of the suggested approach for improving near‐IR photoresponse and expanding operation spectral range of vertical p‐n junction Si photodetector operating under room temperature and zero‐bias conditions via single‐step annealing‐free nanopatterning is highlighted.

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Anti‐Counterfeiting White Light Printed Image Multiplexing by Fast Nanosecond Laser Processing

Cited by 33 publications

References 58 publications

Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Multifold Integration of Printed and Holographic Meta‐Image Displays Enabled by Dual‐Degeneracy

Liquid‐Assisted Laser Nanotexturing of Silicon: Onset of Hydrodynamic Processes Regulated by Laser‐Induced Periodic Surface Structures

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