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Shaping the Color and Angular Appearance of Plasmonic Metasurfaces with Tailored Disorder

  • Florian Sterl
    Florian Sterl
    4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
  • Ediz Herkert
    Ediz Herkert
    4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
    More by Ediz Herkert
  • Steffen Both
    Steffen Both
    4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
    More by Steffen Both
  • Thomas Weiss
    Thomas Weiss
    4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
    More by Thomas Weiss
  • , and 
  • Harald Giessen*
    Harald Giessen
    4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
    *E-mail: [email protected]
Cite this: ACS Nano 2021, 15, 6, 10318–10327
Publication Date (Web):June 11, 2021
https://doi.org/10.1021/acsnano.1c02538
Copyright © 2021 American Chemical Society

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    Abstract

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    The optical properties of plasmonic nanoparticle ensembles are determined not only by the particle shape and size but also by the nanoantenna arrangement. To investigate the influence of the spatial ordering on the far-field optical properties of nanoparticle ensembles, we introduce a disorder model that encompasses both “frozen-phonon” and correlated disorder. We present experimental as well as computational approaches to gain a better understanding of the impact of disorder. A designated Fourier microscopy setup allows us to record the real- and Fourier-space images of plasmonic metasurfaces as either RGB images or fully wavelength-resolved data sets. Furthermore, by treating the nanoparticles as dipoles, we calculate the electric field based on dipole–dipole interaction, extract the far-field response, and convert it to RGB images. Our results reveal how the different disorder parameters shape the optical far field and thus define the optical appearance of a disordered metasurface and show that the relatively simple dipole approximation is able to reproduce the far-field behavior accurately. These insights can be used for engineering metasurfaces with tailored disorder to produce a desired bidirectional reflectance distribution function.

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsnano.1c02538.

    • SEM images of disordered nanoantennas arrays; detailed description of the measurement setup; color theory for conversion of spectral power distribution to visible color; background correction of recorded RGB images; calculation of the polarizability tensor; single-particle measurements and comparison to calculations (PDF)

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    Cited By

    This article is cited by 14 publications.

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    2. Nasim Tavakoli, Richard Spalding, Alexander Lambertz, Pepijn Koppejan, Georgios Gkantzounis, Chenglong Wan, Ruslan Röhrich, Evgenia Kontoleta, A. Femius Koenderink, Riccardo Sapienza, Marian Florescu, Esther Alarcon-Llado. Over 65% Sunlight Absorption in a 1 μm Si Slab with Hyperuniform Texture. ACS Photonics 2022, 9 (4) , 1206-1217. https://doi.org/10.1021/acsphotonics.1c01668
    3. Zixian Hu, Changxu Liu, Guixin Li. Disordered optical metasurfaces: from light manipulation to energy harvesting. Advances in Physics: X 2023, 8 (1) https://doi.org/10.1080/23746149.2023.2234136
    4. Sunae So, Jungho Mun, Junghyun Park, Junsuk Rho. Revisiting the Design Strategies for Metasurfaces: Fundamental Physics, Optimization, and Beyond. Advanced Materials 2023, 3 https://doi.org/10.1002/adma.202206399
    5. Tristan Madeleine, Giampaolo D’Alessandro, Malgosia Kaczmarek. Spectral properties of intermediate to high refractive index nanocubes. Optics Express 2023, 31 (7) , 11395. https://doi.org/10.1364/OE.485872
    6. Ediz Herkert, Florian Sterl, Steffen Both, Sergei G. Tikhodeev, Thomas Weiss, Harald Giessen. Influence of structural disorder on plasmonic metasurfaces and their colors—a coupled point dipole approach: tutorial. Journal of the Optical Society of America B 2023, 40 (3) , B59. https://doi.org/10.1364/JOSAB.477169
    7. Zhihai Wu, Yichen Zhang, Bintao Du, Guodong Tong, Chengkun Dong, Hao Zhang, Jun Wu, Jun Xia, Ziyang Hu, Zhenfu Zhao. Nanocavity-encapsulated perovskite nanocrystals with enhanced luminescence by Mie resonance. Chemical Engineering Journal 2023, 455 , 140954. https://doi.org/10.1016/j.cej.2022.140954
    8. Muath Al Hasan, Zaka Ullah, Illani Nawi, Ismail Ben Mabrouk. Fabrication of a large scale metasurface with high resolution and enhanced absorption. Optical Materials Express 2023, 13 (1) , 130. https://doi.org/10.1364/OME.469973
    9. Ruben C. R. Pompe, Dominic T. Meiers, Walter Pfeiffer, Georg von Freymann. Weak Localization Enhanced Ultrathin Scattering Media. Advanced Optical Materials 2022, 10 (18) https://doi.org/10.1002/adom.202200700
    10. Zhihai Wu, Yichen Zhang, Bintao Du, Keyang Yang, Jun Wu, Tianyi Dai, Chengkun Dong, Jun Xia, Anlang Wu, Zhenfu Zhao. Disordered metasurface-enhanced perovskite composite films with ultra-stable and wide color gamut used for backlit displays. Nano Energy 2022, 100 , 107436. https://doi.org/10.1016/j.nanoen.2022.107436
    11. Kevin Vynck, Romain Pacanowski, Adrian Agreda, Arthur Dufay, Xavier Granier, Philippe Lalanne. The visual appearances of disordered optical metasurfaces. Nature Materials 2022, 21 (9) , 1035-1041. https://doi.org/10.1038/s41563-022-01255-9
    12. Lucien Roach, Adrian Hereu, Philippe Lalanne, Etienne Duguet, Mona Tréguer-Delapierre, Kevin Vynck, Glenna L. Drisko. Controlling disorder in self-assembled colloidal monolayers via evaporative processes. Nanoscale 2022, 14 (9) , 3324-3345. https://doi.org/10.1039/D1NR07814C
    13. Dennis Arslan, Aso Rahimzadegan, Stefan Fasold, Matthias Falkner, Wenjia Zhou, Maria Kroychuk, Carsten Rockstuhl, Thomas Pertsch, Isabelle Staude. Toward Perfect Optical Diffusers: Dielectric Huygens’ Metasurfaces with Critical Positional Disorder. Advanced Materials 2022, 34 (5) https://doi.org/10.1002/adma.202105868
    14. Lanxin Ma, Kaixiang Hu, Chengchao Wang, Jia-Yue Yang, Linhua Liu. Prediction and Inverse Design of Structural Colors of Nanoparticle Systems via Deep Neural Network. Nanomaterials 2021, 11 (12) , 3339. https://doi.org/10.3390/nano11123339

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