Reversible electrical switching of nanostructural color pixels

Page view(s)
7
Checked on May 16, 2024
Reversible electrical switching of nanostructural color pixels
Title:
Reversible electrical switching of nanostructural color pixels
Journal Title:
Nanophotonics
Publication Date:
17 January 2023
Citation:
Zhang, S., Zhang, J., Goh, W. P., Liu, Y., Tjiptoharsono, F., Lee, H. Y. L., Jiang, C., Ding, J., Yang, J. K. W., & Dong, Z. (2023). Reversible electrical switching of nanostructural color pixels. Nanophotonics, 12(8), 1387–1395. https://doi.org/10.1515/nanoph-2022-0646
Abstract:
Abstract Electrical switching of nanophotonic structural color elements is a promising approach towards addressable color switching pixels for next generation reflective displays. However, electrical switching between the primary colors to colorless near-white state remains a challenge. Here, we present a reversible electrical switching approach, relying on the electrocoagulation of Ag nanoparticles between silicon nanostructures that support Mie resonances. The electrodeposited Ag nanoparticles enable the excitation of the hybrid plasmon-Mie resonance as supported on Ag-silicon nanostructures, resulting in a large spectral transformation. Importantly, this process is reversible. This device design outperforms other designs in terms of electrotonic color control since it is highly stable and reliable for use in high-resolution reflective displays, such as colored electronic papers and smart display glass, where the combination is scalable to other nanostructure designs and electrolytic solutions.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the A*STAR - AME Individual Research Grants (IRG)
Grant Reference no. : A20E5c0093

This research / project is supported by the A*STAR - Career Development Award
Grant Reference no. : C210112019

This research / project is supported by the A*STAR - MTC Individual Research Grants (IRG)
Grant Reference no. : M21K2c0116

This research / project is supported by the A*STAR - MTC Young Individual Research Grants (YIRG)
Grant Reference no. : M21K3c0127

This research / project is supported by the National Research Foundation - Competitive Research Programme
Grant Reference no. : NRF-CRP20-2017-0001

This research / project is supported by the National Research Foundation - NRF Investigator
Grant Reference no. : NRF-NRFI06-2020-0005
Description:
ISSN:
2192-8614
2192-8606