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Issue 44, 2019
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Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

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Abstract

In contrast to lossy plasmonic metasurfaces (MSs), wideband dielectric MSs comprising subwavelength nanostructures supporting Mie resonances are of great interest in the visible wavelength range. Here, for the first time to our knowledge, we experimentally demonstrate a reflective MS consisting of a square-lattice array of hafnia (HfO2) nanopillars to generate a wide color gamut. To design and optimize these MSs, we use a deep-learning algorithm based on a dimensionality reduction technique. Good agreement is observed between simulation and experimental results in yielding vivid and high-quality colors. We envision that these structures not only empower the high-resolution digital displays and sensitive colorimetric biosensors but also can be applied to on-demand applications of beaming in a wide wavelength range down to deep ultraviolet.

Graphical abstract: Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

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Article information


Submitted
28 Aug 2019
Accepted
29 Sep 2019
First published
10 Oct 2019

Nanoscale, 2019,11, 21266-21274
Article type
Paper
Author version available

Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

O. Hemmatyar, S. Abdollahramezani, Y. Kiarashinejad, M. Zandehshahvar and A. Adibi, Nanoscale, 2019, 11, 21266 DOI: 10.1039/C9NR07408B

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