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Zangeneh Kamali, K., Xu, L. 
ORCID: 0000-0001-9071-4311, Gagrani, N., Tan, H.H., Jagadish, C., Miroshnichenko, A., Neshev, D. and Rahmani, M. ORCID: 0000-0001-9268-4793,
2023.
Electrically programmable solid-state metasurfaces via flash localised heating.
Light: Science and Applications, 12: 40.
ISSN 2095-5545
Abstract
In the last decades, metasurfaces have attracted much attention because of their extraordinary light-scattering properties. However, their inherently static geometry is an obstacle to many applications where dynamic tunability in their optical behaviour is required. Currently, there is a quest to enable dynamic tuning of metasurface properties, particularly with fast tuning rate, large modulation by small electrical signals, solid state and programmable across multiple pixels. Here, we demonstrate electrically tunable metasurfaces driven by thermo-optic effect and flash-heating in silicon. We show a 9-fold change in transmission by <5 V biasing voltage and the modulation rise-time of <625 µs. Our device consists of a silicon hole array metasurface encapsulated by transparent conducting oxide as a localised heater. It allows for video frame rate optical switching over multiple pixels that can be electrically programmed. Some of the advantages of the proposed tuning method compared with other methods are the possibility to apply it for modulation in the visible and near-infrared region, large modulation depth, working at transmission regime, exhibiting low optical loss, low input voltage requirement, and operating with higher than video-rate switching speed. The device is furthermore compatible with modern electronic display technologies and could be ideal for personal electronic devices such as flat displays, virtual reality holography and light detection and ranging, where fast, solid-state and transparent optical switches are required.
| Item Type: | Journal article | ||||||
|---|---|---|---|---|---|---|---|
| Publication Title: | Light: Science and Applications | ||||||
| Creators: | Zangeneh Kamali, K., Xu, L., Gagrani, N., Tan, H.H., Jagadish, C., Miroshnichenko, A., Neshev, D. and Rahmani, M. | ||||||
| Publisher: | Springer | ||||||
| Date: | 2023 | ||||||
| Volume: | 12 | ||||||
| ISSN: | 2095-5545 | ||||||
| Identifiers: |
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| Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 23 Mar 2023 10:27 | ||||||
| Last Modified: | 23 Mar 2023 10:27 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/48593 |
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