Abstract

In this paper, we demonstrate plasmonic color metasurfaces as large as ∼60 cm2fabricated by deep UV projection lithography employing an innovative combination of resolution enhancement techniques. Briefly, in addition to the established off-axis dipole illumination, double- and cross-exposure resolution enhancement of lithography, we introduce a novel element, the inclusion of transparent assist features to the mask layout. With this approach, we demonstrate the fabrication of relief arrays having critical dimensions such as 159 nm nanopillars or 210 nm nanoholes with 300 nm pitches, which is near the theoretical resolution limit expressed by the Rayleigh criterion for the 248 nm lithography tool used in this work. The type of surface structure,i.e.nanopillar or nanohole, and their diameters can be tailored simply by changing the width of the assist features included in the mask layout. By coating the obtained nanopatterns with thin layers of either Au or Al, we observe color spectra originating from the phenomenon known as localized surface plasmon resonance (LSPR). We demonstrate the generation of color palettes representing a broad spectral range of colors, and we employ finite element modelling to corroborate the measured LSPR fingerprint spectra. Most importantly, the ∼60 cm2nanostructure arrays can be written in only a few minutes, which is a tremendous improvement compared to the more established techniques employed for fabricating similar structures.

Original languageEnglish
JournalNanoscale Advances
Volume3
Issue number8
Pages (from-to)2236-2244
ISSN2516-0230
DOIs
Publication statusPublished - 2021

Bibliographical note

Funding Information:
KW, TR and AB acknowledge the IDUN Center of Excellence funded by the Danish National Research Foundation (Project No. DNRF122) and VILLUM FONDEN (Grant No. 9301). AEW acknowledges the Novo Nordisk Foundation (grant number NNF16OC0021948). AIB acknowledges VILLUM FONDEN (grant numbers 34424 and 00022918). MK and RJT acknowledge the PIPSA project under the TIME framework program (Grant No. RFH-18-0017), funded by the EU Regional funding 2014-2020.

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