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Dual-Functional Terahertz Waveplate Based on All-Dielectric Metamaterial

Physical Review Applied 2020年第3期13卷 034042-034042页

作者： Jianchen Zi Yanfeng Li Xi Feng Quan Xu Hongchao Liu Xi-Xiang Zhang Jiaguang Han Weili Zhang Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering and Key Laboratory of Optoelectronic Information Technology (Ministry of Education) Tianjin University Tianjin 300072 China Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau Avenida da Universidade Taipa Macau SAR China School of Electrical and Computer Engineering Oklahoma State University Stillwater Oklahoma 74078 USA

Terahertz technology has attracted wide attention because of its potential applications in diverse fields, such as spectroscopy, imaging, and nondestructive evaluation, but the lack of functional devices, including polarization convertors, is still a major hurdle for these applications. In previous studies on metamaterial-based polarization convertors, only one single polarization conversion is generally achieved. This paper presents a transmissive dual-functional terahertz waveplate based on an all-dielectric metamaterial composed of periodic subwavelength pillars made of pure silicon that can achieve two different polarization conversions (i.e., a combination of quarter- and half-waveplates) at the same operation frequency and for x- and y-polarized incidences, respectively. Theoretical and numerical analyses are provided to illustrate the design principle. A sample is fabricated and characterized, and the experimental results show that the two polarization conversions are obtained at 1.01 THz, which is in good agreement with the corresponding simulations. Such a dual-functional terahertz waveplate will find applications in terahertz systems and the design strategy can be extended to other frequency ranges as well.

关键词： Dielectrics Metamaterials Optoelectronics Photonics Polarization of light Devices Terahertz techniques

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Distributed Learning Model Predictive Control for Linear Systems*

arXiv

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arXiv 2020年

作者： Stürz, Yvonne R. Zhu, Edward L. Rosolia, Ugo Johansson, Karl H. Borrelli, Francesco Model Predictive Control Laboratory University of California BerkeleyCA94709 United States Department of Mechanical and Civil Engineering California Institute of Technology PasadenaCA91125 United States School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

This paper presents a distributed learning model predictive control (DLMPC) scheme for distributed linear time invariant systems with coupled dynamics and state constraints. The proposed solution method is based on an online distributed optimization scheme with nearest-neighbor communication. If the control task is iterative and data from previous feasible iterations are available, local data are exploited by the subsystems in order to construct the local terminal set and terminal cost, which guarantee recursive feasibility and asymptotic stability, as well as performance improvement over iterations. In case a first feasible trajectory is difficult to obtain, or the task is non-iterative, we further propose an algorithm that efficiently explores the state-space and generates the data required for the construction of the terminal cost and terminal constraint in the MPC problem in a safe and distributed way. In contrast to other distributed MPC schemes which use structured positive invariant sets, the proposed approach involves a control invariant set as the terminal set, on which we do not impose any distributed structure. The proposed iterative scheme converges to the global optimal solution of the underlying infinite horizon optimal control problem under mild conditions. Numerical experiments demonstrate the effectiveness of the proposed DLMPC scheme. Copyright © 2020, The Authors. All rights reserved.

关键词： Model predictive control

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MHD analysis on the physical designs of CFETR and HFRC

arXiv

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arXiv 2021年

作者： Zhu, Ping Li, Li Fang, Yu He, Yuling Wang, Shuo Han, Rui Liu, Yue Wang, Xiaojing Zhang, Yang Zhang, Xiaodong Yu, Qingquan Hu, Liqun Wang, Huihui Sun, Youwen Wei, Lai Tang, Weikang Liu, Tong Wang, Zhengxiong Yan, Xingting Huang, Wenlong Hou, Yawei Ji, Xiaoquan Zeng, Shiyong Abdullah, Zafar Chen, Zhongyong Zeng, Long Li, Haolong Chen, Zhipeng Wang, Zhijiang Rao, Bo Zhang, Ming Ding, Yonghua Pan, Yuan International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States College of Science Donghua University Shanghai201620 China Key Laboratory of Materials Modification by Laser Ion and Electron Beams Ministry of Education School of Physics Dalian University of Technology Dalian116024 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication Engineering South China Normal University Guangzhou510006 China Southwestern Institute of Physics P.O. Box 432 Chengdu610041 China CAS Key Laboratory of Geospace Environment Department of Engineering and Applied Physics University of Science and Technology of China Hefei230026 China CAS Institute of Plasma Physics Anhui Hefei230031 China Max-Planck-Institute for Plasma Physics Garching Germany School of Computer Science and Technology Anhui Engineering Laboratory for Industrial Internet Intelligent Applications and Security Anhui University of Technology Anhui Ma'anshan243002 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China

The China Fusion engineering Test Reactor (CFETR) and the Huazhong Field Reversed Configuration (HFRC), currently both under intensive physical and engineering designs in China, are the two major projects representative of the low-density steady-state and high-density pulsed pathways to fusion. One of the primary tasks of the physics designs for both CFETR and HFRC is the assessment and analysis of the magnetohydrodynamic (MHD) stability of the proposed design schemes. Comprehensive efforts on the assessment of MHD stability of CFETR and HFRC baseline scenarios have led to preliminary progresses that may further benefit engineering designs. For CFETR, the ECCD power and current for full stabilization on NTM have been predicted in this work, as well as the corresponding controlled magnetic island width. A thorough investigation on RWM stability for CFETR is performed. For 80% of the steady state operation scenarios, active control methods may be required for RWM stabilization. The process of disruption mitigation with massive neon injection on CFETR is simulated. The time scale of and consequences of plasma disruption on CFETR are estimated, which are found equivalent to ITER. Major MHD instabilities such as NTM and RWM remain challenge to steady state tokamak operation. On this basis, next steps on CFETR MHD study are planned on NTM, RWM, and SPI disruption mitigation. For HFRC, plasma heating due to 2D adiabatic compression has been demonstrated in NIMROD simulations. The tilt and rotational instabilities grow on ideal MHD time scale in single fluid MHD model as shown from NIMROD calculations. Two-fluid MHD calculations using NIMROD find FLR stabilizing effects on both tilt and rotational modes. Energetic-particle stabilization of tilt mode was previously demonstrated in C-2 experiments and NIMROD simulations. With stabilization on major MHD instabilities from two-fluid and energetic particle effects, FRC may promise to be an alternative route to compact magnetic f

关键词： Magnetoplasma

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Reflectometry Enhancement by Saline Injection in Microwave-based Skin Burn Injury Diagnosis

Reflectometry Enhancement by Saline Injection in Microwave-b...

引用

European Conference on Antennas and Propagation, EuCAP

作者： Alireza Madannejad Javad EbrahimiZadeh Fatemeh Ravanbakhsh Mauricio D Perez Robin Augustine Antenna Lab School of Electrical and Computer Engineering University of Tehran Microwave in Medical Engineering Group Solid State Electronics Angstrom Laboratory Uppsala University Uppsala Sweden School of Medical science and technologies Islamic Azad university Tehran Iran Microwave in Medical Engineering Group Solid State Electronics Uppsala University Uppsala Sweden

ISBN: (数字)9788831299008

ISBN: (纸本)9781728137124

This paper provides a novel solution for increasing the difference between the contrast of permittivity of normal skin and burnt skin using injected saline. The paper makes use of injecting saline water into healthy tissue surrounding the burnt part to increase the conductivity contrast of the healthy tissue compared to the burnt area. After 5 minutes passed by injecting the saline, it will be distributed through the normal tissues while the burnt tissues are not able to absorb the saline. Therefore, the level of permittivity contrast between the healthy tissue and burnt tissue increase drastically which is useful for microwave noninvasive diagnosis.

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Location-Enabled IoT (LE-IoT): A survey of positioning techniques, error sources, and mitigation

arXiv

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arXiv 2020年

作者： Li, You Zhuang, Yuan Hu, Xin Gao, Zhouzheng Hu, Jia Chen, Long He, Zhe Pei, Ling Chen, Kejie Wang, Maosong Niu, Xiaoji Chen, Ruizhi Thompson, John Ghannouchi, Fadhel El-Sheimy, Naser Department of Geomatics Engineering University of Calgary State Key Laboratory of Surveying Mapping and Remote Sensing Wuhan University School of Electronic Engineering Beijing University of Posts and Telecommunications Department of Land Sciences China University of Geosciences Beijing China Department of Computer Science University of Exeter School of Data and Computer Science Sun Yat-sen University Shanghai Key Laboratory of Navigation and Location Based Services School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Earth and Space Sciences Southern University of Science and Technology College of Intelligence Science and Technology National University of Defense Technology NSS Research Center Wuhan University School of Engineering University of Edinburgh

The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to IoT data without human perception and intervention. Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) technologies have advantages such as long range, low power consumption, low cost, massive connections, and the capability for communication in both indoor and outdoor areas. These features make LPWAN signals strong candidates for massmarket localization applications. However, there are various error sources that have limited the localization performance by using such IoT signals. This paper reviews the IoT localization system through the following sequence: IoT localization system review-localization data sources-localization algorithms-localization error sources and mitigation-localization performance evaluation. Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges. Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors. Copyright © 2020, The Authors. All rights reserved.

关键词： Wide area networks

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Towards a time stable fiber optic sensors for harsh environments 11

Towards a time stable fiber optic sensors for harsh environm...

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11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019

作者： Rana, Sohel Badamchi, Bahareh Joshi, Binay Daw, Joshua Calderoni, Pattrick Smith, James Subbaraman, Harish Kandadai, Nirmala Department of Electrical and Computer Engineering Boise State University BoiseID83725 United States Micron School of Materials Science and Engineering Boise State University BoiseID83725 United States Idaho National Laboratory Idaho FallsID83402 United States

ISBN: (纸本)9780894487835

An optical fiber sensor in a nuclear environment is an appealing technology as optical sensors are immune to electromagnetic interference and they offer a simple way to carry sensing signal out of the harsh environment in the form of light. In this paper, we design a reflective long period grating (LPG) that can perform in a nuclear environment and show the effects of coating length and coverage on reflected spectrum for the first time. © 2018 Westinghouse Electric Company LLC All Rights Reserved

关键词： Fiber Bragg gratings

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Impact of innovative cold welding techniques on the thermo-electrochemical performance of battery modules: A thermal simulation model approach

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Applied Thermal engineering 2025年 278卷

作者： Jiangyun Zhang Jixiao Mo Guoqing Zhang Chou Mo Hongwei Wu Liqin Jiang Wenzhao Jiang Bo Wang Jun Liu Kang Peng School of Materials and Energy Guangdong University of Technology Guangzhou 510006 China Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin 541004 China School of Physics Engineering and Computer Science University of Hertfordshire Hatfield AL10 9AB United Kingdom Guangdong Zhuhai Supervision Testing Institute of Quality and Metrology Zhuhai 519000 China Modu Cell Module Co. Ltd 000000 Macau Guangdong Greenway Technology Co. Ltd Dongguan 523000 China

Analyzing factors affecting battery performance and discharge temperature distribution is critical for ensuring the operations of power vehicles. This analysis assesses battery lifespan, efficiency, thermal safety, and functionality across varying environmental conditions. This study investigates the impact of voltage, temperature distribution, and constant voltage charging time (CVT) on battery pack performance and degradation behavior, utilizing cold welding technology. A thermal simulation model, incorporating a user-defined function (UDF) based on a heat source, is. developed to analyze the temperature distribution. First, the actual capacity is analyzed by examining the voltage distribution within the battery pack, while the temperature uniformity of the battery is evaluated for both series and parallel configurations. Second, cyclic testing is conducted to investigate the degradation behavior of the battery pack by monitoring the changes in voltage, CVT, and internal resistance. Third, a thermal simulation model is employed to simulate and analyze the temperature field of the battery pack, with an internal short-circuit point introduced to simulate thermal runaway (TR). The experimental results indicate that the 3P3S-c battery pack exhibits superior voltage consistency, attributed to reduced contact resistance and improved contact uniformity in the cold-welded module, resulting in a 4 % increase in actual capacity. The 3P3S-c battery pack demonstrates superior temperature uniformity among the batteries. During the cycling process, the rise in internal resistance accelerates the transition to the constant voltage (CV) phase. This outcome leads to a progressive increase in CVT. Consequently, the discharge capacity of the battery pack decreases monotonically with CVT, which serves as a reliable indicator for estimating the battery’s state of health (SOH). The battery pack’s performance is constrained by its weakest cell, with 3P3S-h degrading faster than 3P3S-c u

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Quantum Metamaterial for Broadband Detection of Single Microwave Photons

引用

Physical Review Applied 2021年第3期15卷 034074-034074页

作者： Arne L. Grimsmo Baptiste Royer John Mark Kreikebaum Yufeng Ye Kevin O’Brien Irfan Siddiqi Alexandre Blais Institut quantique and Départment de Physique Université de Sherbrooke Sherbrooke Québec J1K 2R1 Canada Centre for Engineered Quantum Systems School of Physics The University of Sydney Sydney Australia Department of Physics Yale University New Haven Connecticut 06520 USA Materials Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Quantum Nanoelectronics Laboratory Department of Physics University of California Berkeley California 94720 USA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Computational Research Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Canadian Institute for Advanced Research Toronto Canada

Detecting traveling photons is an essential primitive for many quantum-information processing tasks. We introduce a single-photon detector design operating in the microwave domain, based on a weakly nonlinear metamaterial where the nonlinearity is provided by a large number of Josephson junctions. The combination of weak nonlinearity and large spatial extent circumvents well-known obstacles limiting approaches based on a localized Kerr medium. Using numerical many-body simulations we show that the single-photon detection fidelity increases with the length of the metamaterial to approach one at experimentally realistic lengths. A remarkable feature of the detector is that the metamaterial approach allows for a large detection bandwidth. The detector is nondestructive and the photon population wavepacket is minimally disturbed by the detection. This detector design offers promising possibilities for quantum information processing, quantum optics and metrology in the microwave frequency domain.

关键词： Josephson effect Quantum information architectures & platforms Quantum information with solid state qubits Quantum sensing Metamaterials Optical sources & detectors Superconducting devices Microwave techniques

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DPA-2: a large atomic model as a multi-task learner

arXiv

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arXiv 2023年

作者： Zhang, Duo Liu, Xinzijian Zhang, Xiangyu Zhang, Chengqian Cai, Chun Bi, Hangrui Du, Yiming Qin, Xuejian Peng, Anyang Huang, Jiameng Li, Bowen Shan, Yifan Zeng, Jinzhe Zhang, Yuzhi Liu, Siyuan Li, Yifan Chang, Junhan Wang, Xinyan Zhou, Shuo Liu, Jianchuan Luo, Xiaoshan Wang, Zhenyu Jiang, Wanrun Wu, Jing Yang, Yudi Yang, Jiyuan Yang, Manyi Gong, Fu-Qiang Zhang, Linshuang Shi, Mengchao Dai, Fu-Zhi York, Darrin M. Liu, Shi Zhu, Tong Zhong, Zhicheng Lv, Jian Cheng, Jun Jia, Weile Chen, Mohan Ke, Guolin Weinan, E. Zhang, Linfeng Wang, Han AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of Sciences Ningbo315201 China School of Electronics Engineering and Computer Science Peking University Beijing100871 China Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development School of Chemistry and Molecular Engineering East China Normal University Shanghai200062 China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States Department of Chemistry Princeton University PrincetonNJ08540 United States College of Chemistry and Molecular Engineering Peking University Beijing100871 China Yuanpei College Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun130012 China Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics Jilin University Changchun130012 China International Center of Future Science Jilin University Changchun130012 China Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Zhejiang Hangzhou310030 China Atomistic Simulations Italia

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of ab initio electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications. We propose a shift towards a model-centric ecosystem, wherein a large atomic model (LAM), pre-trained across multiple disciplines, can be efficiently fine-tuned and distilled for various downstream tasks, thereby establishing a new framework for molecular modeling. In this study, we introduce the DPA-2 architecture as a prototype for LAMs. Pre-trained on a diverse array of chemical and materials systems using a multi-task approach, DPA-2 demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning methodologies. Our approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research. Copyright © 2023, The Authors. All rights reserved.

关键词： Multi-task learning

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A Clinical Breathomics Dataset

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Scientific data 2024年第1期11卷 203页

作者： Ping-Hung Kuo Yue-Chen Jhong Tien-Chueh Kuo Yu-Ting Hsu Ching-Hua Kuo Yufeng Jane Tseng National Taiwan University Hospital No. 1 Changde St. Zhongzheng Dist. Taipei City 100229 Taiwan. Graduate Institute of Biomedical Electronics and Bioinformatics College of Electrical Engineering and Computer Science National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan. The Metabolomics Core Laboratory Center of Genomic Medicine National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan. Drug Research Center College of Pharmacy College of Medicine National Taiwan University No. 33 Linsen S. Road Taipei 10055 Taiwan. Department of Pharmacy School of Pharmacy College of Medicine National Taiwan University No. 33 Linsen S. Road Taipei 10055 Taiwan. Graduate Institute of Biomedical Electronics and Bioinformatics College of Electrical Engineering and Computer Science National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan. yjtseng@csie.ntu.edu.tw. Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan. yjtseng@csie.ntu.edu.tw.

This study entailed a comprehensive GC‒MS analysis conducted on 121 patient samples to generate a clinical breathomics dataset. Breath molecules, indicative of diverse conditions such as psychological and pathological states and the microbiome, were of particular interest due to their non-invasive nature. The highlighted noninvasive approach for detecting these breath molecules significantly enhances diagnostic and monitoring capacities. This dataset cataloged volatile organic compounds (VOCs) from the breath of individuals with asthma, bronchiectasis, and chronic obstructive pulmonary disease. Uniform and consistent sample collection protocols were strictly adhered to during the accumulation of this extensive dataset, ensuring its reliability. It encapsulates extensive human clinical breath molecule data pertinent to three specific diseases. This consequential clinical breathomics dataset is a crucial resource for researchers and clinicians in identifying and exploring important compounds within the patient's breath, thereby augmenting future diagnostic and therapeutic initiatives.

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