检索结果-内蒙古大学图书馆

Janus faces of dipolar sources in directional near-field coupling with an oriented misalignment

Physical Review A 2024年第3期109卷 033505-033505页

作者： Chenxu Bian Yuhan Zhong Xuhuinan Chen Tony Low Hongsheng Chen Baile Zhang Xiao Lin State Key Laboratory of Extreme Photonics and Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China and International Joint Innovation Center The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55455 USA Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua Institute of Zhejiang University Zhejiang University Jinhua 321099 China and Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing 312000 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences and Centre for Disruptive Photonic Technologies Nanyang Technological University Singapore 637371 Singapore

Directional near-field coupling can enable many applications, such as directional routing, on-chip information processing, and chiral quantum optics. This directional near-field coupling is generally face dependent, since the induced near-field radiation pattern is dependent on which face (e.g., the upper or lower face) of the dipolar source is facing toward the outcoupler. In other words, the dipolar sources in the directional near-field coupling intrinsically have two faces (e.g., Janus faces), whose corresponding near-field coupling strength and coupling directionality might be distinct. Here, we outline a general physical framework to control these Janus faces in the directional near-field coupling and find that they can have the feature of an oriented misalignment. To be specific, the upper and lower radiation patterns of excited surface waves can have the same shape but are misaligned with a twist angle. For example, the twist angle can be any acute angle if the source is composed of a Huygens dipole and an electric dipole, and it can be any obtuse angle if the source is constructed by a circular electric dipole and a magnetic dipole.

关键词： Classical optics Light-matter interaction Metamaterials Near-field optics Photonics Plasmonics

来源：评论

学校读者我要写书评

暂无评论

Non-Hermitian Chiral Heat Transport

引用

Physical Review Letters 2023年第26期130卷 266303-266303页

作者： Guoqiang Xu Xue Zhou Ying Li Qitao Cao Weijin Chen Yunfeng Xiao Lan Yang Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of Singapore Kent Ridge 117583 Republic of Singapore School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing 400067 China Interdisciplinary Center for Quantum Information 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 Lab of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of Physics Peking University100871 Beijing China Department of Electrical and Systems Engineering Washington University St. Louis Missouri 63130 USA

Exceptional point (EP) has been captivated as a concept of interpreting eigenvalue degeneracy and eigenstate exchange in non-Hermitian physics. The chirality in the vicinity of EP is intrinsically preserved and usually immune to external bias or perturbation, resulting in the robustness of asymmetric backscattering and directional emission in classical wave fields. Despite recent progress in non-Hermitian thermal diffusion, all state-of-the-art approaches fail to exhibit chiral states or directional robustness in heat transport. Here we report the first discovery of chiral heat transport, which is manifested only in the vicinity of EP but suppressed at the EP of a thermal system. The chiral heat transport demonstrates significant robustness against drastically varying advections and thermal perturbations imposed. Our results reveal the chirality in heat transport process and provide a novel strategy for manipulating mass, charge, and diffusive light.

关键词： Diffusion Heat transfer Metamaterials Non-Hermitean systems

来源：评论

学校读者我要写书评

暂无评论

SELF-DRIVING TECH FOR NON-CARS From mall shuttles to monster trucks, Perrone Robotics is ready to debut its self-driving tech

引用

IEEE SPECTRUM 2019年第3期56卷 9-10页

作者： Ross, Philip E. Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang College of Information Science and Electronic Engineering Zhejiang University Hangzhou China

Like early mammals scuttering between the legs of tyrannosaurs, a lot of little companies are trying to weave around-and maybe even outlast-the big boys of self-driving technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Transfer-Learning-Assisted Inverse Metasurface Design for 30% Data Savings

引用

Physical Review Applied 2022年第2期18卷 024022-024022页

作者： Zhixiang Fan Chao Qian Yuetian Jia Min Chen Jie Zhang Xingshuo Cui Er-Ping Li Bin Zheng Tong Cai Hongsheng Chen ZJU-UIUC Institute Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou 310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou 310027 China Jinhua Institute of Zhejiang University Zhejiang University Jinhua 321099 China Air and Missile Defend College Air Force Engineering University Xi’an 710051 China

Deep learning is found to be a powerful data-driven force to transform the way we discover, design, and utilize photonics and metasurfaces. More recently, there has been growing interest in deep-learning-enabled on-demand structural design, as it can ease the limitations of low efficiency, time-consuming, and experience navigation in conventional design. However, training data is a valuable source, especially for high-dimensional scatterers. It is extremely challenging and costly to keep the pace of data collection with the increasing degrees of freedom. Here, we propose a transfer-learning-assisted inverse-metasurface-design method to relieve the data dilemma. A flexible transferrable neural network composed of an encoder-decoder network and a physical assistance network is constructed, the latter of which is attached to solve the nonuniqueness problem. Starting from the 5 × 5 metasurface, we successfully migrate the inverse design to a 20 × 20 metasurface, with a Pearson correlation coefficient that reaches 97%. Compared with direct learning, the data requirement is reduced by over 30%. In the experiment, we validate the concept via wave-front customization. Our work constitutes a green and efficient inverse-design paradigm for fast far-field customization and provides a key advance for the next generation of large-scale intelligent metadevices.

关键词： Metamaterials Metasurfaces Photonics Deep learning

来源：评论

学校读者我要写书评

暂无评论

Global reconstruction of form-free metasurfaces for customized demand via a learning paradigm

Global reconstruction of form-free metasurfaces for customiz...

引用

IEEE MTT-S International microwave Workshop Series on advanced Materials and Processes for RF and THz applications (IMWS-AMP)

作者： Yuetian Jia Zhixiang Fan Chao Qian Hongsheng Chen Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-UIUC Institute Zhejiang University Hangzhou China ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang Zhejiang University Hangzhou China Jinhua Institute of Zhejiang University Zhejiang University Jinhua China

Metasurfaces, as a class of two-dimensional artificially structured materials, have recently attracted extensive interest due to their rich optical properties and practically preferable natures, meriting a plethora of unprecedented applications. In all these metasurfaces-related works, a pivotal prerequisite is to obtain high-performance metastructures with the intended optical properties, which is conventionally solved by tedious and inefficient numerical simulations. To facilitate this, state-of-art works introduced deep learning algorithms to streamline the forward and inverse design of individual micro-structures. However, for complex metasurfaces and devices, it still has remained unexplored, with the substantial challenges from unveiling elusive light-metasurfaces interaction, algorithm modeling, and experiment demonstration. To address these, here we report a global and direct intelligent design method for complex metasurfaces and devices, via a deep learning architecture. Illustrative examples of conformal metasurfaces are presented, showing a high-fidelity inverse design from the far-field in the simulation and experiment.

关键词： Deep learning Radio frequency Systematics Design methodology microwave devices Metasurfaces microwave theory and techniques

来源：评论

学校读者我要写书评

暂无评论

Motor-driven Mechanical Metasurfaces for Dynamic Wireless Channel Management

Motor-driven Mechanical Metasurfaces for Dynamic Wireless Ch...

引用

IEEE MTT-S International microwave Workshop Series on advanced Materials and Processes for RF and THz applications (IMWS-AMP)

作者： Zhixiang Fan Yuetian Jia Chao Qian Hongsheng Chen Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-UIUC Institute Zhejiang University Hangzhou China ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang Zhejiang University Hangzhou China Jinhua Institute of Zhejiang University Zhejiang University Jinhua China

Here, we introduce the concept of motor-driven mechanical metasurfaces to manage wireless channel dynamically. Such metasurfaces relieve the heavy reliance on traditional radio-frequency components. The design and reflection spectra of the mechanical metasurfaces is demonstrated between 13.1 GHz and 13.5 GHz, the reflected phase almost covers 2π, while the reflected amplitude remains high. In experiment, the concept is demonstrated through a proof-of-concept far-field customization.

关键词： Wireless communication Radio frequency Phased arrays Power demand Conferences Metasurfaces Reflection

来源：评论

学校读者我要写书评

暂无评论

Rapid FSS Design Method Based on Fourier Transform

Rapid FSS Design Method Based on Fourier Transform

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： Huanran Qiu Jiaqi Han Qiang Feng Rui Xi Ying Li Hongsheng Chen Bin Zheng Long Li Hangzhou Institute of Technology Xidian University Hangzhou China Key Laboratory of High-Speed Circuit Design and EMC of Ministry of Education School of Electronic Engineering Xidian University Xi’an China Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou China International Joint Innovation Center The Electromagnetics Academy at Zhejiang University Zhejiang University Haining China Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua China Institute of Zhejiang University Zhejiang University Jinhua China Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

This article presents a rapid frequency selective surface (FSS) design method based on Fourier transform. The method aims to overcome the complexity and reduce the time consumption associated with the massive input simulation datasets in traditional design processes, providing an efficient and automated design solution. By introducing Fourier transform, the amount of simulation datasets can be significantly simplified, enhancing the speed and accuracy of neural network training. The method improves precision and speed in handling tasks with multiple parameters, offering an effective tool for fast FSS design. With the aid of neural network construction, users only need to input the desired simulation result curve, and the neural network model will quickly output optimal FSS structure parameters. This approach ensures design accuracy and stability while greatly increasing the efficiency of FSS design.

关键词： Training Fourier transforms Accuracy Design methodology Simulation Neural networks Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Realizing transmitted metasurface cloak by a tandem neural network

引用

Photonics Research 2021年第5期9卷 I0062-I0068页

作者： ZHENG ZHEN CHAO QIAN YUETIAN JIA ZHIXIANG FAN RAN HAO TONG CAI BIN ZHENG HONGSHENG CHEN ERPING LI Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationCollege of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices&Smart Systems of ZhejiangZhejiang UniversityHangzhou 310027China International Joint Innovation Center ZJU-UIUC Institute Zhejiang UniversityHaining 314400China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China

Being invisible at will has been a long-standing dream for centuries, epitomized by numerous legends;humans have never stopped their exploration steps to realize this dream. Recent years have witnessed a breakthrough in this search due to the advent of transformation optics, metamaterials, and metasurfaces. However, the previous metasurface cloaks typically work in a reflection manner that relies on a high-reflection background, thus limiting the applications. Here, we propose an easy yet viable approach to realize the transmitted metasurface cloak, just composed of two planar metasurfaces to hide an object inside, such as a cat. To tackle the hard-to-converge issue caused by the nonuniqueness phenomenon, we deploy a tandem neural network(T-NN) to efficiently streamline the inverse design. Once pretrained, the T-NN can work for a customer-desired electromagnetic response in one single forward computation, saving a great amount of time. Our work opens a new avenue to realize a transparent invisibility cloak, and the tandem-NN can also inspire the inverse design of other metamaterials and photonics.

关键词： inverse uniqueness breakthrough

来源：评论

学校读者我要写书评

暂无评论

Uncertainty Quantification of Signal Integrity Analysis for Neuromorphic Chips

IEEE Transactions on Signal and Power Integrity

引用

IEEE Transactions on Signal and Power Integrity 2022年 1卷 160-169页

作者： Hanzhi Ma Da Li Tuomin Tao Xingjian Shangguan En-Xiao Liu Jose Schutt-Aine Andreas C. Cangellaris Er-Ping Li College of Information Science and Electronic Engineering ZJU-UIUC Institute Zhejiang University Hangzhou China Key Lab of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang University Hangzhou China Zhejiang-Singapore Innovation and AI Joint Research Lab China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA A*STAR Institute of High Performance Computing Singapore

A dimensionality reduction based neural network framework is introduced for uncertainty quantification of time-domain response based on system uncertain design parameters for neuromorphic chips. The proposed method firstly makes use of the singular value decomposition (SVD) method to find the basis functions and corresponding coefficients of time-domain response, of which coefficients are used as a lower dimensional target outputs in neural network model compared with time sampling points prediction. This newly proposed method then develops an integrated neural network structure to simultaneously find the mean and variance of target coefficients with a combined definition of loss function, which can be utilized together with basis functions to construct the prediction interval of time-domain response. A memrisor-based crossbar array is applied in this work to verify the performance of the proposed method with the comparison of Monte Carlo method.

关键词： Biological neural networks Uncertainty Memristors Time-domain analysis Integrated circuit modeling Neuromorphics Signal integrity Neural networks Neuromorphics

来源：评论

学校读者我要写书评

暂无评论

Polarization-Orthogonal Nondegenerate Plasmonic Higher-Order Topological States

引用

Physical Review Letters 2023年第21期130卷 213603-213603页

作者： Yuanzhen Li Su Xu Zijian Zhang Yumeng Yang Xinrong Xie Wenzheng Ye Feng Liu Haoran Xue Liqiao Jing Zuojia Wang Qi-Dai Chen Hong-Bo Sun Erping Li Hongsheng Chen Fei Gao Interdisciplinary Center for Quantum Information 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 The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua Institute of Zhejiang University Zhejiang University Jinhua 321099 China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University 2699 Qianjin Street Changchun 130012 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Haidian Beijing 100084 China Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing 312000 China

Photonic topological states, providing light-manipulation approaches in robust manners, have attracted intense attention. Connecting photonic topological states with far-field degrees of freedom (d.o.f.) has given rise to fruitful phenomena. Recently emerged higher-order topological insulators (HOTIs), hosting boundary states two or more dimensions lower than those of bulk, offer new paradigms to localize or transport light topologically in extended dimensionalities. However, photonic HOTIs have not been related to d.o.f. of radiation fields yet. Here, we report the observation of polarization-orthogonal second-order topological corner states at different frequencies on a designer-plasmonic kagome metasurface in the far field. Such phenomenon stands on two mechanisms, i.e., projecting the far-field polarizations to the intrinsic parity d.o.f. of lattice modes and the parity splitting of the plasmonic corner states in spectra. We theoretically and numerically show that the parity splitting originates from the underlying interorbital coupling. Both near-field and far-field experiments verify the polarization-orthogonal nondegenerate second-order topological corner states. These results promise applications in robust optical single photon emitters and multiplexed photonic devices.

关键词： Metasurfaces Topological effects in photonic systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：