Scalable, ultra-resistant structural colors based on network metamaterials

Galinski, Henning, Favraud, Gael, Dong, Hao, Totero Gongora, Juan Sebastian, Gregory, Favaro, Döbeli, Max, Spolenak, Ralph, Fratalocchi, Andrea and Capasso, Federico (2017) Scalable, ultra-resistant structural colors based on network metamaterials. Light Science and Applications, 2017 (6). e16233. ISSN 2095-5545

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Abstract

Structural colors have drawn wide attention for their potential as a future printing technology for various applications, ranging from biomimetic tissues to adaptive camouflage materials. However, an efficient approach to realize robust colors with a scalable fabrication technique is still lacking, hampering the realization of practical applications with this platform. Here, we develop a new approach based on large-scale network metamaterials that combine dealloyed subwavelength structures at the nanoscale with lossless, ultra-thin dielectric coatings. By using theory and experiments, we show how subwavelength dielectric coatings control a mechanism of resonant light coupling with epsilon-near-zero regions generated in the metallic network, generating the formation of saturated structural colors that cover a wide portion of the spectrum. Ellipsometry measurements support the efficient observation of these colors, even at angles of 70°. The network-like architecture of these nanomaterials allows for high mechanical resistance, which is quantified in a series of nano-scratch tests. With such remarkable properties, these metastructures represent a robust design technology for real-world, large-scale commercial applications.

Item Type: Article
Keywords: Metamaterials, Nanophotonics and plasmonics, Sub-wavelength optics
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects: Q Science > QC Physics > QC0350 Optics. Light
T Technology > TA Engineering (General). Civil engineering (General) > TA1501 Applied optics. Photonics
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Depositing User: Juan Sebastian Totero Gongora
Date Deposited: 15 Nov 2017 09:38
Last Modified: 15 Nov 2017 09:42
URI: http://sro.sussex.ac.uk/id/eprint/69647

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