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Title: Reconfigurable MEMS Fano metasurfaces with multiple-input–output states for logic operations at terahertz frequencies
Authors: Manjappa, Manukumara
Pitchappa, Prakash
Singh, Navab
Wang, Nan
Zheludev, Nikolay I.
Lee, Chengkuo
Singh, Ranjan
Keywords: Logic Operations
Issue Date: 2018
Source: Manjappa, M., Pitchappa, P., Singh, N., Wang, N., Zheludev, N. I., Lee, C., & Singh, R. (2018). Reconfigurable MEMS Fano metasurfaces with multiple-input–output states for logic operations at terahertz frequencies. Nature Communications, 9, 4056-. doi:10.1038/s41467-018-06360-5
Project: MOE2017-T2-1-110 (S)
NRF2016-NRF-ANR004 (M4197003)
Journal: Nature Communications
Series/Report no.: Nature Communications
Abstract: A broad range of dynamic metasurfaces has been developed for manipulating the intensity, phase and wavefront of electromagnetic radiation from microwaves to optical frequencies. However, most of these metasurfaces operate in single-input–output state. Here, we experimentally demonstrate a reconfigurable MEMS Fano resonant metasurface possessing multiple-input–output (MIO) states that performs logic operations with two independently controlled electrical inputs and an optical readout at terahertz frequencies. The far-field behaviour of Fano resonance exhibits XOR and XNOR operations, while the near-field resonant confinement enables the NAND operation. The MIO configuration resembling hysteresis-type closed-loop behaviour is realized through inducing electromechanically tuneable out-of-plane anisotropy in the near-field coupling of constituent resonator structures. The XOR metamaterial gate possesses potential applications in cryptographically secured terahertz wireless communication networks. Furthermore, the MIO features could lay the foundation for the realization of programmable and randomly accessible metamaterials with enhanced electro-optical performance across terahertz, infrared and optical frequencies.
ISSN: 2041-1723
DOI: 10.1038/s41467-018-06360-5
Schools: School of Physical and Mathematical Sciences 
Rights: © 2018 The Author(s). 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
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