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Dynamically tunable multiband plasmon-induced transparency effect based on graphene nanoribbon waveguide coupled with rectangle cavities system

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Chinese Physics B 2022年第8期31卷 440-452页

作者： Zi-Hao Zhu Bo-Yun Wang Xiang Yan Yang Liu Qing-Dong Zeng Tao Wang Hua-Qing Yu School of Physics and Electronic-information Engineering Hubei Engineering UniversityXiaogan 432000China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China

A dynamically tunable multiband plasmon-induced transparency(PIT) effect in a series of rectangle cavities coupled with a graphene nanoribbon waveguide system is investigated theoretically and numerically by tuning the Fermi level of the graphene rectangle cavity. A single-PIT effect is realized using two different methods: one is the direct destructive interference between bright and dark modes, and the other is the indirect coupling through a graphene nanoribbon waveguide. Moreover, dual-PIT effect is obtained by three rectangle cavities side-coupled with a graphene nanoribbon *** show that the magnitude of the dual-PIT window can be controlled between 0.21 and 0.74, and the corresponding group index is controlled between 143.2 and 108.6. Furthermore, the triple-PIT effect is achieved by the combination of bright–dark mode coupling and the cavities side-coupled with waveguide mechanism. Thus, sharp PIT windows can be formed, a high transmission is maintained between 0.51 and 0.74, and the corresponding group index is controlled between161.4 and 115.8. Compared with previously proposed graphene-based PIT effects, the size of the introduced structure is less than 0.5 μm2. Particularly, the slow light effect is crucial in the current research. Therefore, a novel approach is introduced toward the realization of optical sensors, optical filters, and slow light and light storage devices with ultra-compact,multiband, and dynamic tunable.

关键词： plasmon-induced transparency(PIT) graphene group index rectangle cavities

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Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks

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science China(information sciences) 2024年第11期67卷 373-374页

作者： Xiumei DENG Jun LI Long SHI Kang WEI Ming DING Yumeng SHAO Wen CHEN Shi JIN Pillar of Information Systems Technology and Design Singapore University of Technology and Design National Mobile Communications Research Laboratory Southeast University School of Electronic and Optical Engineering Nanjing University of Science and Technology Department of Computing Hong Kong Polytechnic University Data61 CSIRO Department of Electronics Engineering Shanghai Jiao Tong University

The integration of artificial intelligence(AI) and digital twin(DT) technology has revolutionized the industrial Internet of Things(IIoT), enabling advanced automation and intelligent manufacturing [1]. Through sophisticated interactions between physical entities and their virtual counterparts,AI-driven DTs facilitate performance monitoring, analysis,simulation, and optimization of physical assets, enabling predictive maintenance and informed decision-making [2].

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Solid-phase sintering and vapor-liquid-solid growth of BP@MgO quantum dot crystals with a high piezoelectric response

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Journal of Advanced Ceramics 2022年第11期11卷 1725-1734页

作者： Qingwei LIAO Wei HOU Kexuan LIAO Liyin CHEN Yujun SONG Guowei GAO Lei QIN Key Laboratory of Sensors Beijing Information Science&Technology UniversityBeijing 100192China Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityBeijing 100192China Key Laboratory of Photoelectric Testing Technology Beijing Information Science&Technology UniversityBeijing 100192China School of Chemical Science and Engineering Tongji UniversityShanghai 200092China Harvard John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridge 02138USA Center of Modern Physics Technology School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083China

Low-dimensional piezoelectric and quantum piezotronics are two important branches of low-dimensional materials,playing a significant role in the advancement of low-dimensional devices,circuits,and ***,we firstly propose a solid-phase sintering and vapor–liquid–solid growth(SS–VLS-like)method of preparing a quantum-sized oxide material,i.e.,black phosphorus(BP)@MgO quantum dot(QD)crystal with a strong piezoelectric ***-sized MgO was obtained by Mg slowly released from MgB_(2) within the confinement of a nanoflake BP *** the slow release of Mg only grows nanometer-sized MgO to hinder the further growth of MgO,we added a heterostructure matrix constraint:nanoflake *** the BP as the matrix confinement,MgO QDs embedded in the BP@MgO QD crystals were *** crystals have a layered two-dimensional(2D)structure with a thickness of 11 nm and are stable in the *** addition,piezoresponse force microscopy(PFM)images show that they have extremely strong *** strong polarity can also be proved by polarization reversal and a simple pressure sensor.

关键词： quantum dots(QDs) piezoelectric black phosphorus(BP) MgO

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Interpretable Machine Learning-Assisted High-Throughput Screening for Understanding NRR Electrocatalyst Performance Modulation between Active Center and C-N Coordination

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Energy & Environmental Materials 2024年第5期7卷 263-271页

作者： Jinxin Sun Anjie Chen Junming Guan Ying Han Yongjun Liu Xianghong Niu Maoshuai He Li Shi Jinlan Wang Xiuyun Zhang College of Physics Science and Technology Yangzhou UniversityYangzhou 225002China State Key Laboratory of Organic Electronics and Information Displays(KLOEID)&Institute of Advanced Materials(IAM) School of ScienceNanjing University of Posts and TelecommunicationsNanjing 210023China College of Chemistry and Molecular Engineering Qingdao University of Science and TechnologyQingdao 266042China School of Physics&Key Laboratory of Quantum Materials and Devices Ministry of EducationSoutheast UniversityNanjing 20089China

Understanding the correlation between the fundamental descriptors and catalytic performance is meaningful to guide the design of high-performance electrochemical ***,exploring key factors that affect catalytic performance in the vast catalyst space remains challenging for ***,to accurately identify the factors that affect the performance of N2 reduction,we apply interpretable machine learning(ML)to analyze high-throughput screening results,which is also suited to other surface reactions in *** expound on the paradigm,33 promising catalysts are screened from 168 carbon-supported candidates,specifically single-atom catalysts(SACs)supported by a BC_(3)monolayer(TM@V_(B/C)-N_(n)=_(0-3)-BC_(3))via high-throughput ***,the hybrid sampling method and XGBoost model are selected to classify eligible and non-eligible *** feature interpretation using Shapley Additive Explanations(SHAP)analysis,two crucial features,that is,the number of valence electrons(N_(v))and nitrogen substitution(N_(n)),are screened *** SHAP analysis and electronic structure calculations,the synergistic effect between an active center with low valence electron numbers and reasonable C-N coordination(a medium fraction of nitrogen substitution)can exhibit high catalytic ***,six superior catalysts with a limiting potential lower than-0.4 V are *** workflow offers a rational approach to obtaining key information on catalytic performance from high-throughput screening results to design efficient catalysts that can be applied to other materials and reactions.

关键词： electrochemical nitrogen reduction feature engineering high-throughput screening machine learning

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Diode-pumped ring-cavity-dumped few-nanosecond single-longitudinal-mode Alexandrite laser

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Optics Letters 2025年第10期50卷 3457-3460页

作者： Wang, Jingchong Wang, Shiwu Cong, Zhenhua Liu, Gaoyou Guan, Chen Zhao, Zhigang Liu, Zhaojun School of Information Science and Engineering Shandong University Qingdao266237 China Key Laboratory of Laser and Infrared System Ministry of Education Shandong University Qingdao266237 China Crystech Co. Ltd. Qingdao266000 China Shandong Provincial Key Laboratory of Laser Technology and Application Qingdao266000 China Laser Institute Qilu University of Technology Shandong Academy of Sciences Jinan250000 China

A red laser diode (LD) pumped single-longitudinal-mode (SLM) short-pulsed Alexandrite laser with a pulse duration of a few nanoseconds is presented, in which the cavity-dumping technique is for the first time, to our knowledge, introduced into the unidirectional ring cavity. For continuous-wave (CW) operation, a SLM Alexandrite laser with wavelength tunability from 735 nm to 786 nm was realized, and the maximum output power was 1.03 W at 759 nm. In the ring-cavity-dumped configuration, a pulsed SLM 770.6-nm Alexandrite laser was demonstrated, with a pulse energy of 12.1 µJ, a pulse duration of 7.8 ns, and a linewidth of 727 MHz at 1-kHz repetition rate. The corresponding beam quality factors were measured to be M2x = 1.14 and M2y = 1.09. When the repetition rate was increased to 10 kHz, the output power went up to 89 mW. © 2025 Optica Publishing Group. All rights are reserved.

关键词： Optical pumping

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A review on photo-, electro- and photoelectro- catalytic strategies for selective oxidation of alcohols

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Journal of Energy Chemistry 2023年第2期77卷 80-118,I0003页

作者： Duoyue Tang Guilong Lu Zewen Shen Yezi Hu Ling Yao Bingfeng Li Guixia Zhao Baoxiang Peng Xiubing Huang MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Laboratory of Industrial Chemistry Ruhr University Bochum44780 BochumGermany POWERCHINA SICHUN Electric Power Engineering CO. LTDChengdu 610041SichuanChina Beijing Key Laboratory of Function Materials for Molecule&Structure Construction School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China

Traditional conversion of alcohols into carbonyl compounds exists a few drawbacks such as harsh reaction conditions,production of large amounts of hazardous wastes,and poor *** newly emerging conversion approaches via photo-,electro-,and photoelectro-catalysis to oxidize alcohols into high value-added corresponding carbonyl compounds as well as the possible simultaneous production of clean fuel hydrogen(H_(2))under mild conditions are promising to substitute the traditional approach to form greener and sustainable reaction systems and thus have aroused tremendous *** this review,the state-of-the-art photocatalytic,electrocatalytic,and photoelectrocatalytic strategies for selective oxidation of different types of alcohols(aromatic and aliphatic alcohols,single alcohol,and polyols,etc.)as well as the simultaneous production of H_(2) in certain systems are *** design of photocatalysts,electrocatalysts,and photoelectrocatalysts as well as reaction mechanism is summarized and discussed in *** the end,current challenges and future research directions are *** is expected that this review will not only deepen the understanding of environmentally friendly catalytic systems for alcohol conversion as well as H_(2) production,but also enlighten significance and inspirations for the follow-up study of selective oxidation of various types of organic molecules to value-added chemicals.

关键词： Alcohol oxidation Carbonyl compounds Photocatalysis Electrocatalysis Photoelectrocatalysis

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Combining Deep Learning with Knowledge Graph for Design Knowledge Acquisition in Conceptual Product Design

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Computer Modeling in engineering & sciences 2024年第1期138卷 167-200页

作者： Yuexin Huang Suihuai Yu Jianjie Chu Zhaojing Su Yangfan Cong Hanyu Wang Hao Fan Key Laboratory of Industrial Design and Ergonomics Ministry of Industry and Information TechnologyNorthwestern Polytechnical UniversityXi’an710072China School of Industrial Design Engineering Delft University of TechnologyDelft2628 CEThe Netherlands Department of Industrial Design College of ArtsShandong University of Science and TechnologyTsingtao266590China College of Computer Science and Technology Zhejiang UniversityHangzhou310027China

The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product *** study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge ***,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product ***,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction *** comparison verified the effectiveness and accuracy of the proposed knowledge extraction *** case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.

关键词： Conceptual product design design knowledge acquisition knowledge graph entity extraction relation extraction

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Optimizing Radio Access technology Selection and Precoding in CV-Aided ISAC systems

Optimizing Radio Access Technology Selection and Precoding i...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Gao, Yulan Ye, Ziqiang Xiao, Ming Xiao, Yue Kth Royal Institute of Technology Division of Information Science and Engineering Stockholm10044 Sweden University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu611731 China

ISBN: (纸本)9798350368369

Integrated Sensing and Communication (ISAC) systems promise to revolutionize wireless networks by concurrently supporting high-resolution sensing and high-performance communication. This paper presents a novel radio access technology (RAT) selection framework that capitalizes on vision sensing from base station (BS) cameras to optimize both communication and perception capabilities within the ISAC system. Our framework strategically employs two distinct RATs, LTE and millimeter wave (mmWave), to enhance system performance. We propose a vision-based user localization method that employs a 3D detection technique to capture the spatial distribution of users within the surrounding environment. This is followed by geometric calculations to accurately determine the state of mmWave communication links between the BS and individual users. Additionally, we integrate the SlowFast model to recognize user activities, facilitating adaptive transmission rate allocation based on observed behaviors. We develop a Deep Deterministic Policy Gradient (DDPG)-based algorithm, utilizing the joint distribution of users and their activities, designed to maximize the total transmission rate for all users through joint RAT selection and precoding optimization, while adhering to constraints on sensing mutual information and minimum transmission rates. Numerical simulation results demonstrate the effectiveness of the proposed framework in dynamically adjusting resource allocation, ensuring high-quality communication under challenging conditions. © 2025 IEEE.

关键词： Machine vision

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Stackelberg-Game Computation Offloading Scheme for Parked Vehicle-Assisted VEC and Experiment Analysis

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第9期9卷 5694-5705页

作者： Liu, Chunhong Zhao, Mengdi Wang, Huaichen Cheng, Bo Liu, Jialei Yuan, Peiyan Henan Normal University Engineering Lab of Intelligence Business & Internet of Things Xinxiang453007 China Henan Normal University School of Computer and Information Engineering Xinxiang453007 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Hubei University of Arts and Science Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China Hubei University of Arts and Science School of Computer Engineering Xiangyang441053 China

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using computational resources at the network's edge. Nevertheless, because of inadequate infrastructure and limited resources, computation-intensive and delay-sensitive vehicle applications cannot be performed efficiently at the edge. Therefore, several studies have used the idle resources of parked vehicles to assist in computation offloading. In this article, we propose a parked vehicle-assisted vehicle edge computing architecture considering multi-agent collaboration, including intelligent vehicles and edge servers. Additionally, we propose a framework for a parallel Internet of Vehicles (IoV) utilizing computational experiment. The service provider is assigned the role of owning VEC resources and recruiting parking vehicle resources. The model was constructed by using the resource consumption-service relationship of both offloading parties to ensure service quality. First, a Stackelberg game model was constructed based on the interaction between requesting vehicles and a service provider. The latter was the leader, and the requesting vehicles were the followers. The Nash equilibrium for optimal pricing and offloading allocations was attained and verified, and a distributed gradient-based equilibrium algorithm was designed to solve the Stackelberg game model and obtain the final decision through mutual communication. The method also protects the privacy of participants and respects the willingness of requesting vehicles to offload. Finally, the simulation experiments confirmed that the proposed algorithm can achieve game equilibrium. Furthermore, it outperformed state-of-the-art algorithms in improving the service provider's utility. © 2016 IEEE.

关键词： Vehicles

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Organic stoichiometric cocrystals with a subtle balance of charge-transfer degree and molecular stacking towards high-efficiency NIR photothermal conversion

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Chinese Chemical Letters 2024年第10期35卷 180-186页

作者： Jieqiong Xu Wenbin Chen Shengkai Li Qian Chen Tao Wang Yadong Shi Shengyong Deng Mingde Li Peifa Wei Zhuo Chen Institutes of Physical Science and Information Technology Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of EducationAnhui Graphene Engineering LaboratoryAnhui UniversityHefei 230601China Molecular Science and Biomedicine Laboratory(MBL).State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringCollege of BiologyAptamer Engineering Center of Hunan ProvinceHunan UniversityChangsha 410082China Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province Shantou UniversityShantou515063China

Charge-transfer(CT)stoichiometric cocrystals are promising choice of organic materials for unveiling the structure-property ***,due to the contradiction between large CT degree required for strong NIR absorption and flexible molecular stacking,construction of stoichiomorphism-based cocystals with near-infrared(NIR)photothermal property remains ***,the first example of stoichiomorphism-based photothermal cocrystals were accomplished through the adaptive assembly of 3,3,5,5-tetramethylbenzidine(TMB)donor and 1,2,4,5-tetracyanobenzene(TCNB)*** selective cocrystallization could be controlled by varying the donor-acceptor stoichiometries via a surfactantassisted method,resulting in two cocrystals with 1:1(T1C1)and 1:2(T2C1)*** absorbance intensity of T1C1 at 808 nm was nearly twice that of T2C1,while the photothermal conversion efficiency(PCE)of the former was 60.3%±0.6%,approximately 80%of that for the latter(75.5%±2.6%),which might be caused by the different intermolecular interactions in distinct molecular stacking ***,both excellent PCEs of stoichiometric cocrystals were attributed to the nonradiative transition process,including internal conversion and charge dissociation processes,as elucidated by femtosecond transient absorption spectroscopy ***,T1C1 was used as an NIR heater for preparing agarose-based photothermal hydrogel,showing great potential for light-controlled in-situ *** strategy of balancing the CT degree and molecular packing orientation not only uncovered the relationship between stoichiometric stacking and photothermal property,but also provided an opportunity to develop advanced organic optoelectronic materials.

关键词： Charge-transfer cocrystal Stoichiometric stacking Crystal growth Photothermal conversion In-situ gelation

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