Hostname: page-component-89b8bd64d-rbxfs Total loading time: 0 Render date: 2026-05-07T17:56:43.117Z Has data issue: false hasContentIssue false

Programmable metamaterials

Published online by Cambridge University Press:  02 May 2023

Rui Y. Wu
Affiliation:
Institute of Electromagnetic Space, Southeast University, Nanjing, China State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Liang W. Wu
Affiliation:
Institute of Electromagnetic Space, Southeast University, Nanjing, China State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Shi He
Affiliation:
Institute of Electromagnetic Space, Southeast University, Nanjing, China State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Shuo Liu*
Affiliation:
Institute of Electromagnetic Space, Southeast University, Nanjing, China State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Tie J. Cui*
Affiliation:
Institute of Electromagnetic Space, Southeast University, Nanjing, China State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
*
*Authors for correspondence: Shuo Liu and Tie J. Cui, Email: liushuo.china@seu.edu.cn; tjcui@seu.edu.cn
*Authors for correspondence: Shuo Liu and Tie J. Cui, Email: liushuo.china@seu.edu.cn; tjcui@seu.edu.cn
Rights & Permissions [Opens in a new window]

Abstract

As a major approach for controlling electromagnetic (EM) waves, metamaterials have experienced an abundant and rapid development in the 21st century. They have provided flexible and powerful techniques for controlling EM waves and brought many unique applications that are difficult to realise with natural materials. With increasing demands on dynamic controls of the EM waves, many innovations have been conducted in both three-dimensional metamaterials and two-dimensional metasurfaces, in which the meta-atom has been gradually evolved from passive to active. In 2014, coding and digital mechanisms were initially introduced to the metamaterials, further advancing the appearance of digitally programmable metamaterials. The programmable metamaterials have shown great potentials in not only real-time manipulations of the EM waves, but also direct information processing on the EM wave level. In this article, we present an in-depth review of the programmable EM metamaterials and metasurfaces, focusing on the programmable features including theoretical concepts, implementing methods and applications in EM controls. We first give a short retrospect of traditional metamaterials and metasurfaces, followed by the concepts and detailed discussions of digital coding and field-programmable metamaterials. Then, we introduce space-domain, time-domain and space–time-domain programmable metamaterials and metasurfaces, mainly focusing on their theories, functionalities, experimental implementations, and system-level applications. Finally, we conclude the current advances of the programmable metamaterials and metasurfaces, and give a prospect for the future developments.

Information

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. 3D broadband and broad-angle transformation-optics lens. Reproduced from Ma and Cui (2010). (a) Meta-atom design and the relationship between refractive index and diameter of the drilled hole. (b) Graph of the 3D transformation-optics lens. (c) Beam-scanning performances at 12.5, 15 and 18 GHz.

Figure 1

Figure 2. (a) Refraction schematics of the generalised Snell’s law. Reproduced from Yu et al. (2011). (b) Gradient phase abrupt to achieve deflecting wave propagation. (c) Specific analysis of the generalised Snell’s law for anomalous reflection and transmission. (d) Realisations of vortex beams using spiral phase pattern.

Figure 2

Figure 3. (a) Schematic of coding and digital metamaterials/metasurfaces and a typical 1-bit meta-atom. (b) Three coding patterns ‘000000…/000000…’, ‘010101…/010101…’, ‘010101…/101010…’, and corresponding single-beam, dual-beam, four-beam radiations. (c) Meta-atom of 1-bit programmable metamaterial. (d) Real-time control by programmable metamaterial. Reproduced from Cui et al. (2014).

Figure 3

Figure 4. (a) Detailed structure of the binary programmable meta-atom. (b) Reflected amplitude and phase responses of the binary meta-atom. (c,d) Different coding patterns and corresponding radiation patterns. Reproduced from Wan et al. (2016a). (e) Transmission-type programmable meta-atom. Reproduced from Bai et al. (2020).

Figure 4

Figure 5. (a) Amplitude-coding programmable metamaterial with multifrequency modulations. Reproduced from Hong et al. (2021). (b) Amplitude-phase-joint-coding programmable metamaterial. Reproduced from Wang et al. (2022d). (c) Polarisation-controlled dual-programmable metamaterial. Reproduced from Zhang et al. (2020b). (d) Programmable metamaterial for digital polarisation conversion. Reproduced from Ma et al. (2020a).

Figure 5

Figure 6. (a,b) Illustration of full-space reflection-transmission amplitude programmable metamaterial and the structure of adopted meta-atom. Reproduced from Wu et al. (2019). (c,d) Illustration of totally full-space programmable metamaterial and the structure of adopted meta-atom. Reproduced from Bao et al. (2021).

Figure 6

Figure 7. (a) Conceptual illustration of space–time programmable metamaterials. (b) 3D space–time coding matrix and corresponding 2D case, respectively. The red and green dots represent ‘1’ and ‘0’ states, respectively. (c) Harmonic beam scanning by amplitude modulation. (d) Harmonic beam scanning by phase modulation. Reproduced from Zhang et al. (2018).

Figure 7

Figure 8. (a) Schematic diagram of the time-domain programmable metamaterial with harmonic amplitude and phase controls. (b) The measured harmonic amplitude/phase distributions of the time-domain programmable metamaterial at 3.7 GHz with different bias voltages V1/V2 and modulating periods T. Reproduced from Dai et al. (2018).

Figure 8

Figure 9. (a) Theoretical vector synthesis of multi-bit phase coding construction. (b) Schematic of multi-bit phase coding via space–time programmable metamaterials. Reproduced from Zhang et al. (2019b). (c) Nonreciprocal reflection based on space–time programmable metamaterial. Reproduced from Zhang et al. (2019a).

Figure 9

Figure 10. (a) Schematic of asynchronous space–time programmable metamaterial. (b) Automatic spatial beam scanning. (c) Dynamic RCS manipulations. Reproduced from Wang et al., (2022b).

Figure 10

Figure 11. (a) Schematic of light-driven programmable metamaterial and EM functionalities. (b) Actual experiment setup and environment. (c) Performances of cloaking and illusion. (d) Measured results of the planar metamaterial and target ladder. Reproduced from Zhang et al. (2018).

Figure 11

Figure 12. (a) Illustration of the beam steering-based terahertz programmable metamaterials, and the topological structure of the LC programmable meta-atom. (b) 1-bit performance of the meta-atom. (c) Dual-beam scattering pattern of the metamaterial at different frequencies, where the curves 1–5 represent the different coding sequences. Reproduced from Fu et al. (2022).

Figure 12

Figure 13. (a) Conceptional illustration of motor-driven PB phase programmable metamaterial. (b) 1-bit performance of the meta-atom. (b,c) Performances of real-time moving of focal point and reprogrammable hologram imaging. Reproduced from Xu et al. (2022).

Figure 13

Figure 14. (a) Principle of direct information transmitting system via programmable metamaterials. (b) The adopted programmable metamaterial and transmitting control unit. (c) The measured performance of picture transmission. Reproduced from Cui et al. (2019). (d) Schematic of multi-channel information transmitting system in near-field region. (e) Results of acquired signal of ‘111’, ‘110’ and ‘001’ in near field. Reproduced from Wan et al. (2019).

Figure 14

Figure 15. (a) Information processing of the time-domain programmable metamaterial. (b) Schematic of the proposed BFSK wireless communication system based on the time-domain programmable metamaterial. Reproduced from Zhao et al. (2018). (c) A direct information-transmitting wireless communication system based on space–time programmable metamaterial with space division and frequency division multiplexing. (d) Prototype of dual-channel wireless communication system based on space–time programmable metamaterial, which can transmit different pictures to two users simultaneously and independently. Reproduced from Zhang et al. (2021).

Figure 15

Figure 16. (a) Single-radar-single-frequency passive imaging system via programmable metamaterial. Reproduced from Li et al. (2016). (b) The reprogrammable hologram imaging. Reproduced from Li et al. (2017). (c) Intelligent recognizer. Reproduced from Li et al. (2019b). (d) machine-learning metamaterial imager. Reproduced from Li et al. (2019a).

Figure 16

Figure 17. (a) Schematic of the intelligent system via programmable metamaterials. (b, c) Theoretical and physical model of PAIM. Reproduced from Liu et al. (2022a).