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Mechanically tunable metasurface with large gamut of color: Lateral hybrid system

Fang, Rui; Ghasemi, Amir; Zeze, Dagou A.; Keshavarz Hedayati, Mehdi

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Authors

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Rui Fang rui.fang@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

Hybrid metasurfaces are made of metals and dielectrics in which dielectrics (metals) are sandwiched between metals (dielectrics) to control the reflection and transmission of light. The existing designs have low sensitivity, little color coverage, and a lack of flexibility. Here, a new structural color design is proposed in which metals and dielectric resonators are arranged spatially in 2D to form a lateral hybrid system, instead of being placed as layers. Such a design exhibits a high level of sensitivity to mechanical forces because it works via 2D optical coupling and light confinement between adjacent resonators. Our study shows that in-planar coupling of two dissimilar resonators can enhance sensitivity by an order of magnitude in comparison to stacking them. Metasurfaces with our design would have unprecedented mechanical tunability without compromising either the materials choice or processing. Using the proposed hybrid system, we demonstrate large tunability across the full range of colors with only a 10% change in the size of the lattice, which further proves its superiority over existing designs. This concept could find application in wearable devices that require high sensitivity to small mechanical fluctuations.

Citation

Fang, R., Ghasemi, A., Zeze, D. A., & Keshavarz Hedayati, M. (2022). Mechanically tunable metasurface with large gamut of color: Lateral hybrid system. Journal of Applied Physics, 132(13), Article 133102. https://doi.org/10.1063/5.0115964

Journal Article Type Article
Acceptance Date Sep 13, 2022
Online Publication Date Oct 4, 2022
Publication Date Oct 7, 2022
Deposit Date Dec 2, 2022
Publicly Available Date Dec 2, 2022
Journal Journal of Applied Physics
Print ISSN 0021-8979
Electronic ISSN 1089-7550
Publisher American Institute of Physics
Peer Reviewed Peer Reviewed
Volume 132
Issue 13
Article Number 133102
DOI https://doi.org/10.1063/5.0115964
Public URL https://durham-repository.worktribe.com/output/1185227

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http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://
creativecommons.org/licenses/by/4.0/).





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