4.6 Article

Design and experimental demonstration of Doppler cloak from spatiotemporally modulated metamaterials based on rotational Doppler effect

期刊

OPTICS EXPRESS
卷 28, 期 3, 页码 3745-3755

出版社

OPTICAL SOC AMER
DOI: 10.1364/OE.382700

关键词

-

类别

资金

  1. Natural Science Foundation of Guangdong Province [2018A030313481]
  2. Shenzhen University Research Startup Project of New Staff [20188082]
  3. Engineering and Physical Sciences Research Council [EP/N010493/1, EP/R035393/1]
  4. National Natural Science Foundation of China [61871194]
  5. Shenzhen Science and Technology Programs [GJHZ 20180418190529516, JCYJ 20180305124543176, JSGG 20180507183215520]
  6. EPSRC [EP/N010493/1, EP/P005578/1, EP/R035393/1, EP/I034548/1] Funding Source: UKRI

向作者/读者索取更多资源

Recently, spatiotemporally modulated metamaterial has been theoretically demonstrated for the design of Doppler cloak, a technique used to cloak the motion of moving objects from the observer by compensating for the Doppler shift. Linear Doppler effect has an angular counterpart, i.e., the rotational Doppler effect, which can be observed by the orbital angular momentum (OAM) of light scattered from a spinning object. In this work, we predict that the spatiotemporally modulated metamaterial has its angular equivalent phenomenon. We therefore propose a technique to observe the rotational Doppler effect by cylindrical spatiotemporally modulated metamaterial. Conversely, such a metamaterial is able to cloak the Doppler shift associated with linear motion by generating an opposite rotational Doppler shift. This novel concept is theoretically analyzed, and a conceptual design by spatiotemporally modulating the permittivity of a voltage-controlled OAM ferroelectric reflector is demonstrated by theoretical calculation and numerical simulation. Finally, a Doppler cloak is experimentally demonstrated by a spinning OAM metasurface in radar system, which the spatiotemporal reflection phase are mechanically modulated. Our work presented in this paper may pave the way for new directions of OAM carrying beams and science of cloaking, and also explore the potential applications of tunable materials and metasurfaces. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Electrical & Electronic

Dual Circularly Polarized 3-D Printed Broadband Dielectric Reflectarray With a Linearly Polarized Feed

Qiao Cheng, Yang Hao, Jack McGhee, William G. Whittow, J. C. Vardaxoglou, Raj Mittra, Shiyu Zhang

Summary: This article proposes a broadband dual circularly polarized reflectarray based on 3-D printed dielectric materials. By adjusting the phases of the orthogonal LP waves and optimizing the feed placement, a wide bandwidth and high gain are achieved.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2022)

Article Engineering, Electrical & Electronic

Broadband High-Efficiency Ultrathin Metasurfaces With Simultaneous Independent Control of Transmission and Reflection Amplitudes and Phases

Yufang Wang, Yuehe Ge, Zhizhang Chen, Xin Liu, Jixiong Pu, Kaiting Liu, Huanyang Chen, Yang Hao

Summary: The study demonstrates a high-efficiency broadband ultrathin metasurface incorporating metallic gratings and double-split-ring resonators. The metasurface has multiple functionalities, generating beams with different orders and vortex beams with various orbital angular momentum modes in both reflection and transmission spaces.

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2022)

Article Nanoscience & Nanotechnology

Optimization and experimental validation of a bi-focal lens in the microwave domain

Benjamin Vial, Tom Whittaker, Shiyu Zhang, William G. Whittow, Yang Hao

Summary: This study reports the use of topology optimization to design a bi-focal lens that concentrates the electromagnetic field at different spatial positions depending on the wavelength. Numerical inverse design is utilized to obtain the desired permittivity layout, and the resulting device is 3D printed using low-loss dielectrics. Experimental field mapping demonstrates the local field enhancement ability at distinct locations for two separate frequencies.

AIP ADVANCES (2022)

Review Engineering, Multidisciplinary

Recent Advances in Organ Specific Wireless Bioelectronic Devices: Perspective on Biotelemetry and Power Transfer Using Antenna Systems

Ahsan Noor Khan, Young-Ok Cha, Henry Giddens, Yang Hao

Summary: The integration of electronics and biology has led to the emergence of bioelectronics, offering exciting opportunities for therapeutic treatments. Wireless technology is playing a significant role in advancing bioelectronics, enabling noninvasive control and wireless power transfer, with potential for clinical applications.

ENGINEERING (2022)

Article Materials Science, Multidisciplinary

The Dawn of Metamaterial Engineering Predicted via Hyperdimensional Keyword Pool and Memory Learning

Young-Ok Cha, Yang Hao

Summary: This study utilizes automated computer tools, such as natural language processing (NLP), to re-examine the future prospects of metamaterials research. By building a fully auto-generated database of 43,678 abstracts related to metamaterials published between 2000 and 2021, the distribution and clustering of each keyword in a hyperdimensional vector space are studied using word embedding. This study not only assesses the popularity and trends of research themes but also predicts the future directions and theme evolutions for selected topics.

ADVANCED OPTICAL MATERIALS (2022)

Article Chemistry, Multidisciplinary

Formula Graph Self-Attention Network for Representation-Domain Independent Materials Discovery

Achintha Ihalage, Yang Hao

Summary: The success of machine learning in materials property prediction depends on the representation of materials. This study introduces a new concept called formula graph, which unifies stoichiometric and structure-based material descriptors. A graph neural network model with self-attention mechanism is developed, allowing the transferability of material embeddings between different domains and improving prediction performance and sample efficiency.

ADVANCED SCIENCE (2022)

Article Engineering, Electrical & Electronic

Broadband High-Gain SIW Horn Antenna Loaded With Tapered Multistrip Transition and Dielectric Slab for mm-Wave Application

Yaling Chen, Long Zhang, Yejun He, Chunxu Mao, Sai-Wai Wong, Wenting Li, Peng Chu, Steven Gao

Summary: This article proposes a substrate integrated waveguide (SIW) H-plane horn antenna loaded with a tapered multistrip transition and dielectric slab, achieving broadband high-gain operation. The broadband characteristic is achieved by loading the tapered multistrip transition, while the dielectric slab enhances the gain. Experimental results demonstrate a wide impedance bandwidth, high-gain operation, and excellent radiation patterns for millimeter-wave applications.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2022)

Article Multidisciplinary Sciences

Deep learning for behaviour classification in a preclinical brain injury model

Lucas Teoh, Achintha Avin Ihalage, Srooley Harp, Zahra F. Al-Khateeb, Adina T. Michael-Titus, Jordi L. Tremoleda, Yang Hao

Summary: Early detection of traumatic brain injuries is crucial for patient prognosis and survival. This study explores the use of a multiple input, convolutional neural network and LSTM integrated architecture for traumatic injury detection in a murine preclinical model dataset. The proposed deep learning model achieved the best performance and showed promise in detecting brain trauma in mice.

PLOS ONE (2022)

Review Chemistry, Multidisciplinary

Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications

Yasir Saifullah, Yejun He, Amir Boag, Guo-Min Yang, Feng Xu

Summary: Intelligent metasurfaces, with the ability to dynamically manipulate electromagnetic waves, have gained significant importance in recent years. This article reviews the recent progress in the field of intelligent metasurfaces, focusing on tuning mechanisms, hardware designs, and applications. It discusses reconfigurable and programmable metasurfaces, as well as the potential of reconfigurable intelligent surfaces in altering wireless environments. Additionally, it summarizes the progress made in transmitting and reflecting reconfigurable intelligent surfaces that achieve full-space EM wave control. The perspective on the challenges and future directions of intelligent metasurfaces is also provided.

ADVANCED SCIENCE (2022)

Article Engineering, Electrical & Electronic

On-Body NLoS Radio Channel at Millimeter-Wave Frequencies

Khaleda Ali, Alessio Brizzi, Ahsan Noor Khan, Yang Hao

Summary: This article presents an analysis of on-body radio channels at millimeter-wave frequencies and proposes solutions to reduce the path loss, particularly at non-line of sight (NLoS) locations. The study conducted at 94 GHz reveals that the presence of textile and thin air between clothing and the human body surface can lower the path loss at NLoS. Additionally, attaching a thin metallic sheet underneath clothing further reduces the path loss.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2023)

Article Engineering, Electrical & Electronic

A Novel 3-D Beam Domain Channel Model for Maritime Massive MIMO Communication Systems Using Uniform Circular Arrays

Yubei He, Cheng-Xiang Wang, Hengtai Chang, Rui Feng, Jian Sun, Wensheng Zhang, Yang Hao, El-Hadi M. Aggoune

Summary: In this paper, a 3-dimensional non-stationary geometry-based stochastic model is proposed for maritime massive MIMO communication systems. A novel beam domain channel model is then proposed, which transforms the corresponding stochastic model from the array domain to the beam domain. Two methods are used to characterize the array non-stationarity, and important channel statistical properties are studied and compared based on the proposed models.

IEEE TRANSACTIONS ON COMMUNICATIONS (2023)

Article Chemistry, Analytical

Active Learning Optimisation of Binary Coded Metasurface Consisting of Wideband Meta-Atoms

Parvathy Chittur Subramanianprasad, Yihan Ma, Achintha Avin Ihalage, Yang Hao

Summary: The design of metasurface arrays to minimize radar cross-section has been extensively studied. The use of conventional optimization algorithms such as genetic algorithm and particle swarm optimization presents a challenge in terms of computation time, especially for large arrays. This study proposes the application of active learning, a machine learning optimization technique, to significantly speed up the optimization process and obtain similar results compared to genetic algorithm. The active learning strategy outperforms genetic algorithm in terms of computational efficiency, particularly for larger metasurface arrays.

SENSORS (2023)

Review Engineering, Electrical & Electronic

Antennas and Propagation Research From Large-Scale Unstructured Data With Machine Learning: A review and predictions.

Young-Ok Cha, Achintha Avin Ihalage, Yang Hao

Summary: The past century has seen significant progress in antennas and propagation (A&P) research, bringing about major changes to society and technology. In this article, a natural language processing (NLP) and machine learning (ML) approach is introduced to review A&P research based on large-scale unstructured data, providing meaningful summaries and predictions. Through analyzing 159,000 research papers published between 1981 and 2021, and applying an encoder-decoder LSTM network with integrated attention mechanism, future trends in A&P research are predicted in the form of a Gartner's hype cycle.

IEEE ANTENNAS AND PROPAGATION MAGAZINE (2023)

Article Nanoscience & Nanotechnology

Topology optimization of a thermal cloak in the frequency domain

Benjamin Vial, Sebastien Guenneau, Yang Hao

Summary: We propose an optimization approach for designing wideband thermal cloaks for objects with large thermal conductivity. The cloak achieves near-perfect cloaking over a finite frequency band and performs well in the time domain, regardless of the initial temperature distribution. Interestingly, it also works fairly well for objects with high thermal conductivity but breaks down for those with low thermal conductivity.

AIP ADVANCES (2023)

Article Materials Science, Multidisciplinary

Incorporating Meta-Atom Interactions in Rapid Optimization of Large-Scale Disordered Metasurfaces Based on Deep Interactive Learning

Yihan Ma, Jonas Florentin Kolb, Achintha Avin Ihalage, Andre Sarker Andy, Yang Hao

Summary: Surface symmetry breaking and disorder have been utilized to address issues such as operation bandwidth, unwanted diffraction, and polarization dependence in metasurface designs. However, efficient simulation and optimization of large-scale electromagnetic structures remains challenging. This study presents an interactive learning approach to build meta-atom datasets with mutual coupling effects. A deep learning-based model extracts features from limited known meta-atoms to design aperture-efficient metasurfaces and metalenses at large scales.

ADVANCED PHOTONICS RESEARCH (2023)

暂无数据