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Plasmonic structurally colored surfaces with metal film over microsphere lattices.
- Source :
-
Optical Materials . Oct2024, Vol. 156, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Structural coloring through plasmonic nanostructures involves the manipulation of light interaction with nanostructured metallic surfaces to selectively reflect specific spectral ranges within the visible spectrum. Unlike conventional pigments that absorb light based on their chemical properties, plasmonic nanostructures achieve color through their physical configuration. This study investigates the potential of generating plasmonic structural colors by utilizing self-assembled colloidal microsphere lattices that are coated with thin metal films. Finite-Difference Time-Domain (FDTD) simulations are employed on realistic models to analyze the optical reflectance of dielectric microsphere lattices ranging in sizes from 300 to 700 nm, coated with varying thicknesses (20–200 nm) of different metals (Al, Ag, Au). The reflectance spectra are then translated into specific colors using a software algorithm, with the color representations plotted on CIE1931 diagrams. Furthermore, to validate the theoretical findings, two-dimensional polystyrene microsphere arrays coated with Au and Ag films are prepared, and their reflectance spectra and color images are examined. The resulting plasmonic colors can be adjusted by altering the sphere size, the type of metal used, and the thickness of the coating, demonstrating their potential for diverse color-based applications. [Display omitted] • Metal films over nanospheres produce a broad palette of plasmonic colors. • Both vivid and pale colors are obtained with silver films over nanospheres. • Simple and promising approach to achieving tunable long-lasting, dye-free colors. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09253467
- Volume :
- 156
- Database :
- Academic Search Index
- Journal :
- Optical Materials
- Publication Type :
- Academic Journal
- Accession number :
- 179499719
- Full Text :
- https://doi.org/10.1016/j.optmat.2024.115936