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Liu Z, Cao PC, Xu L, Xu G, Li Y, Huang J. Higher-Order Topological In-Bulk Corner State in Pure Diffusion Systems. PHYSICAL REVIEW LETTERS 2024; 132:176302. [PMID: 38728705 DOI: 10.1103/physrevlett.132.176302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 03/26/2024] [Indexed: 05/12/2024]
Abstract
Compared with conventional topological insulator that carries topological state at its boundaries, the higher-order topological insulator exhibits lower-dimensional gapless boundary states at its corners and hinges. Leveraging the form similarity between Schrödinger equation and diffusion equation, research on higher-order topological insulators has been extended from condensed matter physics to thermal diffusion. Unfortunately, all the corner states of thermal higher-order topological insulator reside within the band gap. Another kind of corner state, which is embedded in the bulk states, has not been realized in pure diffusion systems so far. Here, we construct higher-dimensional Su-Schrieffer-Heeger models based on sphere-rod structure to elucidate these corner states, which we term "in-bulk corner states." Because of the anti-Hermitian properties of diffusive Hamiltonian, we investigate the thermal behavior of these corner states through theoretical calculation, simulation, and experiment. Furthermore, we study the different thermal behaviors of in-bulk corner state and in-gap corner state. Our results would open a different gate for diffusive topological states and provide a distinct application for efficient heat dissipation.
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Affiliation(s)
- Zhoufei Liu
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
| | - Pei-Chao Cao
- State Key Laboratory of Extreme Photonics and Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China
- International Joint Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, The Electromagnetics Academy of Zhejiang University, Zhejiang University, Haining 314400, China
- Shaoxing Institute of Zhejiang University, Zhejiang University, Shaoxing 312000, China
| | - Liujun Xu
- Graduate School of China Academy of Engineering Physics, Beijing 100193, China
| | - Guoqiang Xu
- Department of Electrical and Computer Engineering, National University of Singapore, Kent Ridge 117583, Republic of Singapore
| | - Ying Li
- State Key Laboratory of Extreme Photonics and Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China
- International Joint Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, The Electromagnetics Academy of Zhejiang University, Zhejiang University, Haining 314400, China
- Shaoxing Institute of Zhejiang University, Zhejiang University, Shaoxing 312000, China
| | - Jiping Huang
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
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Li W, Yu Q, Qiu JH, Qi J. Intelligent wireless power transfer via a 2-bit compact reconfigurable transmissive-metasurface-based router. Nat Commun 2024; 15:2807. [PMID: 38561373 PMCID: PMC10984985 DOI: 10.1038/s41467-024-46984-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 03/13/2024] [Indexed: 04/04/2024] Open
Abstract
With the rapid development of the Internet of Things, numerous devices have been deployed in complex environments for environmental monitoring and information transmission, which brings new power supply challenges. Wireless power transfer is a promising solution since it enables power delivery without cables, providing well-behaved flexibility for power supplies. Here we propose a compact wireless power transfer framework. The core components of the proposed framework include a plane-wave feeder and a transmissive 2-bit reconfigurable metasurface-based beam generator, which constitute a reconfigurable power router. The combined profile of the feeder and the beam generator is 0.8 wavelengths. In collaboration with a deep-learning-driven environment sensor, the router enables object detection and localization, and intelligent wireless power transfer to power-consuming targets, especially in dynamic multitarget environments. Experiments also show that the router is capable of simultaneous wireless power and information transfer. Due to the merits of low cost and compact size, the proposed framework may boost the commercialization of metasurface-based wireless power transfer routers.
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Affiliation(s)
- Wenzhi Li
- Department of Microwave Engineering, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
| | - Qiyue Yu
- Department of Communication Engineering, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
| | - Jing Hui Qiu
- Department of Microwave Engineering, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
| | - Jiaran Qi
- Department of Microwave Engineering, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China.
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Jin P, Xu L, Xu G, Li J, Qiu CW, Huang J. Deep Learning-Assisted Active Metamaterials with Heat-Enhanced Thermal Transport. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2305791. [PMID: 37869962 DOI: 10.1002/adma.202305791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/12/2023] [Indexed: 10/24/2023]
Abstract
Heat management is crucial for state-of-the-art applications such as passive radiative cooling, thermally adjustable wearables, and camouflage systems. Their adaptive versions, to cater to varied requirements, lean on the potential of adaptive metamaterials. Existing efforts, however, feature with highly anisotropic parameters, narrow working-temperature ranges, and the need for manual intervention, which remain long-term and tricky obstacles for the most advanced self-adaptive metamaterials. To surmount these barriers, heat-enhanced thermal diffusion metamaterials powered by deep learning is introduced. Such active metamaterials can automatically sense ambient temperatures and swiftly, as well as continuously, adjust their thermal functions with a high degree of tunability. They maintain robust thermal performance even when external thermal fields change direction, and both simulations and experiments demonstrate exceptional results. Furthermore, two metadevices with on-demand adaptability, performing distinctive features with isotropic materials, wide working temperatures, and spontaneous response are designed. This work offers a framework for the design of intelligent thermal diffusion metamaterials and can be expanded to other diffusion fields, adapting to increasingly complex and dynamic environments.
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Affiliation(s)
- Peng Jin
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai, 200438, China
| | - Liujun Xu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
- Graduate School of China Academy of Engineering Physics, Beijing, 100193, China
| | - Guoqiang Xu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Jiaxin Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Cheng-Wei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Jiping Huang
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai, 200438, China
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Zhou Y, Wang S, Yin J, Wang J, Manshaii F, Xiao X, Zhang T, Bao H, Jiang S, Chen J. Flexible Metasurfaces for Multifunctional Interfaces. ACS NANO 2024; 18:2685-2707. [PMID: 38241491 DOI: 10.1021/acsnano.3c09310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optical metasurfaces, capable of manipulating the properties of light with a thickness at the subwavelength scale, have been the subject of extensive investigation in recent decades. This research has been mainly driven by their potential to overcome the limitations of traditional, bulky optical devices. However, most existing optical metasurfaces are confined to planar and rigid designs, functions, and technologies, which greatly impede their evolution toward practical applications that often involve complex surfaces. The disconnect between two-dimensional (2D) planar structures and three-dimensional (3D) curved surfaces is becoming increasingly pronounced. In the past two decades, the emergence of flexible electronics has ushered in an emerging era for metasurfaces. This review delves into this cutting-edge field, with a focus on both flexible and conformal design and fabrication techniques. Initially, we reflect on the milestones and trajectories in modern research of optical metasurfaces, complemented by a brief overview of their theoretical underpinnings and primary classifications. We then showcase four advanced applications of optical metasurfaces, emphasizing their promising prospects and relevance in areas such as imaging, biosensing, cloaking, and multifunctionality. Subsequently, we explore three key trends in optical metasurfaces, including mechanically reconfigurable metasurfaces, digitally controlled metasurfaces, and conformal metasurfaces. Finally, we summarize our insights on the ongoing challenges and opportunities in this field.
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Affiliation(s)
- Yunlei Zhou
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shaolei Wang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jianjun Wang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Tianqi Zhang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Hong Bao
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shan Jiang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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Zhang Y, Feng Y, Zhao J. Graphene-Enabled Tunable Phase Gradient Metasurface for Broadband Dispersion Manipulation of Terahertz Wave. MICROMACHINES 2023; 14:2006. [PMID: 38004863 PMCID: PMC10672863 DOI: 10.3390/mi14112006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023]
Abstract
With the increasing demand for the miniaturization and flexibility of optical devices, graphene-based metasurfaces have emerged as a promising ideal design platform for realizing planar and tunable electromagnetic or optical devices. In this paper, we propose a tunable metasurface with low-dispersion phase gradient characteristics that is composed of an array of double-layer graphene ribbons sandwiched with a thin insulating layer and a polymer substrate layer with a gold ground plane. As two typical proof-of-concept examples, metasurfaces act as a planar prism and a planar lens, respectively, and the corresponding performances of tunable broadband dispersion are demonstrated through full-wave simulation experiments. By changing the Fermi level of each graphene ribbon individually to introduce abrupt phase shifts along the metasurface, the broadband continuous dispersion effect of abnormal reflection and beam focusing is achieved within a terahertz (THz) frequency region from 3.0 THz to 4.0 THz, and the dispersion results can be freely regulated by reconfiguring the sequence of Fermi levels via the bias voltage. The presented graphene metasurface provides an avenue for the dispersion manipulation of a broadband terahertz wave and may have great prospects in the fields of optics, imaging, and wireless communication.
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Affiliation(s)
- Yin Zhang
- School of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China;
- Department of Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;
| | - Yijun Feng
- Department of Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;
| | - Junming Zhao
- Department of Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;
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Jin P, Liu J, Yang F, Marchesoni F, Jiang JH, Huang J. In situ Simulation of Thermal Reality. RESEARCH (WASHINGTON, D.C.) 2023; 6:0222. [PMID: 37746656 PMCID: PMC10516180 DOI: 10.34133/research.0222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/16/2023] [Indexed: 09/26/2023]
Abstract
Simulated reality encompasses virtual, augmented, and mixed realities-each characterized by different degrees of truthfulness in the visual perception: "all false," "coexistence of true and false," and "difficult distinction between true and false," respectively. In all these technologies, however, the temperature rendering of virtual objects is still an unsolved problem. Undoubtedly, the lack of thermal tactile functions substantially reduces the quality of the user's real-experience perception. To address this challenge, we propose theoretically and realize experimentally a technological platform for the in situ simulation of thermal reality. To this purpose, we design a thermal metadevice consisting of a reconfigurable array of radiating units, capable of generating the thermal image of any virtual object, and thus rendering it in situ together with its thermal signature. This is a substantial technological advance, which opens up new possibilities for simulated reality and its applications to human activities.
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Affiliation(s)
- Peng Jin
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
| | - Jinrong Liu
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
| | - Fubao Yang
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
| | - Fabio Marchesoni
- Center for Phononics and Thermal Energy Science, Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Department of Physics, University of Camerino, Camerino 62032, Italy
| | - Jian-Hua Jiang
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
| | - Jiping Huang
- Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University, Shanghai 200438, China
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Saifullah Y, He Y, Boag A, Yang G, Xu F. Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203747. [PMID: 36117118 PMCID: PMC9685480 DOI: 10.1002/advs.202203747] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/19/2022] [Indexed: 05/25/2023]
Abstract
Intelligent metasurfaces have gained significant importance in recent years due to their ability to dynamically manipulate electromagnetic (EM) waves. Their multifunctional characteristics, realized by incorporating active elements into the metasurface designs, have huge potential in numerous novel devices and exciting applications. In this article, recent progress in the field of intelligent metasurfaces are reviewed, focusing particularly on tuning mechanisms, hardware designs, and applications. Reconfigurable and programmable metasurfaces, classified as space gradient, time modulated, and space-time modulated metasurfaces, are discussed. Then, reconfigurable intelligent surfaces (RISs) that can alter their wireless environments, and are considered as a promising technology for sixth-generation communication networks, are explored. Next, the recent progress made in simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) that can achieve full-space EM wave control are summarized. Finally, the perspective on the challenges and future directions of intelligent metasurfaces are presented.
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Affiliation(s)
- Yasir Saifullah
- College of Electronics and Information EngineeringShenzhen UniversityShenzhen518060China
| | - Yejun He
- College of Electronics and Information EngineeringShenzhen UniversityShenzhen518060China
| | - Amir Boag
- School of Electrical EngineeringTel Aviv UniversityRamat Aviv69978Israel
| | - Guo‐Min Yang
- Key Laboratory for Information Science of Electromagnetic Waves (MoE)Fudan UniversityShanghai200433China
| | - Feng Xu
- Key Laboratory for Information Science of Electromagnetic Waves (MoE)Fudan UniversityShanghai200433China
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New generation electromagnetic materials: harvesting instead of dissipation solo. Sci Bull (Beijing) 2022; 67:1413-1415. [PMID: 36546181 DOI: 10.1016/j.scib.2022.06.017] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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