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Hydrogen-assisted activation of N_(2)molecules on atomic steps of ZnSe nanorods

Nano Research 2023年第5期16卷 6721-6727页

作者： Kun Du Xiuyao Lang Yuanyuan Yang Chuanqi Cheng Ning Lan Kangwen Qiu Jing Mao Weichao Wang Tao Ling Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education Institute of New-EnergySchool of Materials Science and EngineeringTianjin UniversityTianjin 300072China Tianjin Key Laboratory of Photo-Electronic Thin Film Device and Technology College of Electronic Information and Optical Engineering Nankai UniversityTianjin 300071China College of Energy Engineering Huanghuai UniversityZhumadian 463000China

Electrochemical reduction reaction of nitrogen(NRR)offers a promising pathway to produce ammonia(NH_(3))from renewable ***,the development of such process has been hindered by the chemical inertness of N_(2).It is recently proposed that hydrogen species formed on the surface of electrocatalysts can greatly enhance ***,there is still a lack of atomiclevel connection between the hydrogenation behavior of electrocatalysts and their NRR ***,we report an atomistic understanding of the hydrogenation behavior of a highly twinned ZnSe(T-ZnSe)nanorod with a large density of surface atomic steps and the activation of N_(2)molecules adsorbed on its *** theoretical calculations and in situ infrared spectroscopic characterizations suggest that the atomic steps are essential for the hydrogenation of T-ZnSe,which greatly reduces its work function and efficiently activates adsorbed N_(2)***,the liquid-like and free water over T-ZnSe promotes its *** a result,T-ZnSe nanorods exhibit significantly enhanced Faradaic efficiency and NH3 production rate compared with the pristine ZnSe *** work paves a promising way for engineering electrocatalysts for green and sustainable NH3 production.

关键词： electrocatalytic nitrogen reduction reaction atomic steps work function ZnSe

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In situ reconstruction induced oxygen-deficient multiphase Cu based species hybridized with Ni single atoms as tandem platform for CO_(2) electroreduction

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Nano Research 2024年第5期17卷 3888-3894页

作者： Juzhe Liu Yuheng Wang Pengpeng Mo Feng Yang Kaiqi Jiang Zhixiang Cheng Yuxuan Liu Zhiyi Sun Zheng Liu Yimei Zhang Wenxing Chen The Key Laboratory of Resources and Environmental System Optimization Ministry of EducationCollege of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China SEPA Key Laboratory of Eco-Industry Chinese Research Academy of Environmental SciencesBeijing 100012China

Tandem catalysis,capable of decoupling individual steps,provides a feasible way to build a high-efficiency CO_(2) electro-conversion system for multicarbons(C_(2+)).The construction of electrocatalytic materials is one of focusing ***,we fabricated a single atom involved multivalent oxide-derived Cu composite material and found it inclined to reconstruct into oxygen-deficient multiphase Cu based species hybridized with monatomic Ni on N doped C *** this prototype,rapid CO generation and C-C coupling are successively achieved on NiN4 sites and surface amorphized Cu species with defects,resembling a micro-production *** this way,the in situ formed tandem catalyst exhibited a high Faradaic efficiency(FE)of~78%for C_(2+)products along with satisfactory durability over 50 ***,the reconstruction-induced amorphous layer with abundant asymmetric sites should be favorable to improve the ethanol selectivity(FE:63%),which is about 10 times higher than that of the non-tandem Cu-based contrast *** work offers a new approach for manipulating tandem catalyst systems towards enhancing C_(2+)products.

关键词： tandem catalysis single atom reconstruction amorphous CO_(2)reduction reaction

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Surface Threat Event Identification for Subway Tunnels Using Multi-classifier Fusion Algorithm Based Optical Fiber DAS system 28

Surface Threat Event Identification for Subway Tunnels Using...

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28th International Conference on Optical Fiber Sensors, OFS 2023

作者： He, Tao Zhang, Shixiong Li, Hao Yan, Zhijun Liu, Deming Sun, Qizhen School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China National Engineering Laboratory for Next Generation Internet Access System Wuhan430074 China

Multi-classifier fusion algorithm is proposed to identify surface intrusion events in the subway tunnel. Experimental demonstration verifies that the average recognition rate of 96.1% for four target events is achieve... 详细信息

ISBN: (纸本)9781957171302

关键词： Optical fibers

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Controllable selective anchoring of subnanometric Ru clusters or single-atoms/clusters on tungsten nitride for the hydrogen oxidation

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science China Chemistry 2024年第11期67卷 3749-3756页

作者： Qijiao Sun Chuanqiang Wu Yiqiang Sun Yuan Shen Lei Zhao Xiaodong Yang Li Yang Yunxiang Lin Keke Mao Kun Xu School of Chemistry and Chemical Engineering Key Laboratory of Functional Inorganic Material Chemistry of Anhui ProvinceAnhui Province Key Laboratory of Chemistry for Inorganic/Organic Hybrid Functionalized MaterialsKey Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of EducationAnhui UniversityHefei 230601China Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China School of Chemistry and Chemical Engineering University of JinanJinan 250022China School of Energy and Environment Anhui University of TechnologyMa’anshan 243032China

The impregnation method in the preparation of metal cluster catalysts typically inadvertently introduces single atoms(SAs) into the substrate. However, the question of whether the introduction of SAs will further improve the catalytic activity of cluster systems for specific reactions such as the hydrogen oxidation reaction(HOR) remains unraveled. Herein, we demonstrate Ru clusters anchored on WN nanowires(RuC/WN) show a higher alkaline HOR catalytic activity in comparison with Ru SAs and nanoclusters(NCs)-coupled catalyst anchored on WN nanowires system(RuC,S/WN). Notably, the RuC/WN exhibits superb intrinsic catalytic activity with a mass-normalized exchange current density of 890 m A mg^(-1)PGM, which is among the top level of well developed Ru-based HOR catalysts. Both theoretical simulation and experimental investigation suggest that RuC/WN owns an optimized H^(*)and OH^(*) reaction intermediates for the alkaline HOR, therefore resulting in the excellent intrinsic HOR catalytic performance.

关键词： hydrogen oxidation reaction Ru cluster catalyst Ru single atoms and nanoclusters coupled catalyst tungsten nitride substrate

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Establishment of compound database of emerging antioxidants and high-resolution mass spectrometry screening in lake sediment from Taihu Lake Basin, China

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Environmental science and Pollution Research 2024年第19期31卷 28341-28352页

作者： Su, Huijun Li, Jianhua Ye, Langjie Su, Guanyong Key Laboratory of Environmental Remediation and Ecological Health Ministry of Industry and Information Technology School of Environmental and Biological Engineering Nanjing University of Science and Technology Nanjing210094 China Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization Yulin Engineering Research Center of Coal Chemical Wastewater School of Chemistry and Chemical Engineering Yulin University Yulin719000 China

Antioxidants are ubiquitous in various environmental samples, leading to increasing concern regarding their potential risk to environments or humans. However, there is dearth of information regarding the environmental fate of antioxidants and unknown/unexpected antioxidants in the environment. Here, we established a compound database (CDB) containing 320 current-used antioxidants by collecting the chemicals from EPA’s functional use database and published documents. Physical–chemical characteristics of these antioxidants were estimated, and 19 ones were considered as persistent and bioaccumulative (P&B) substances. This CDB was further coupled with high resolution mass spectrometry (HRMS) technique, which was employed for suspect screening of antioxidants in extracts of sediments (n = 88) collected from Taihu Lake basin. We screened 119 HRMS features that can match 135 chemical formulas in the CDB, and 20 out of them exhibited the detection frequencies ≥ 90%. The total concentrations of suspect antioxidants in sediments ranged from 6.41 to 830 ng/g dw. Statistical analysis demonstrated that concentrations of suspect antioxidants in Taihu Lake were statistically significantly lower than those in Shihu and Jiulihu Lake, but greater than those from other small lakes. Collectively, this study provided a CDB that could be helpful for further monitoring studies of antioxidant in the environments, and also provided the first evidence regarding the ubiquity of antioxidants in aquatic environment of Taihu Lake basin. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Antioxidants

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting

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Big Data Mining and Analytics 2023年第4期6卷 421-432页

作者： Xiaodong Qu Chengcheng Guan Gang Xie Zhiyi Tian Keshav Sood Chaoli Sun Lei Cui the Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and TechnologyTaiyuan 030024China the Faculty of Engineering and Information Technology University of Technology SydneyUltimo 2007Australia the Centre for Cyber Security Research and Innovation Deakin UniversityMelbourne 3125Australia the School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 030024China

Accurate load forecasting is critical for electricity production,transmission,and *** learning(DL)model has replaced other classical models as the most popular prediction ***,the deep prediction model requires users to provide a large amount of private electricity consumption data,which has potential privacy *** nodes can federally train a global model through aggregation using federated learning(FL).As a novel distributed machine learning(ML)technique,it only exchanges model parameters without sharing raw ***,existing forecasting methods based on FL still face challenges from data heterogeneity and privacy ***,we propose a user-level load forecasting system based on personalized federated learning(PFL)to address these *** obtained personalized model outperforms the global model on local ***,we introduce a novel differential privacy(DP)algorithm in the proposed system to provide an additional privacy *** on the principle of generative adversarial network(GAN),the algorithm achieves the balance between privacy and prediction accuracy throughout the *** perform simulation experiments on the real-world dataset and the experimental results show that the proposed system can comply with the requirement for accuracy and privacy in real load forecasting scenarios.

关键词： load forecasting personalized federated learning differential privacy

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High power solid state lighting via transparent ceramics protecting quantum dots diffusion plates

High power solid state lighting via transparent ceramics pro...

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International Conference on Display technology, 2024

作者： Du, Aochen Zheng, Xingke Yun, Ye Sheng, Xu Enguo, Chen Tailiang, Guo College of Physics and Information Engineering Fuzhou University Fuzhou350100 China Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou350100 China

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SIMULATION CALCULATION AND OPTIMIZATION OF AERIAL REFUELING OF AIRCRAFT FUEL system

SIMULATION CALCULATION AND OPTIMIZATION OF AERIAL REFUELING ...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Wang, Chenchen Wang, Yangyang Gu, Lixin AVIC Nanjing Engineering Institute of Aircraft Systems The Aviation Electromechanical System Integration of Aviation Science and Technology Key Laboratory Nanjing211106 China

In order to ensure that the initial design of the fuel system meets the requirements of aircraft aerial refueling and related standards, a simulation model of an aircraft fuel system was established based on the AMESim simulation platform. The aerial refueling process was calculated under given conditions, and the initial design of the fuel system is optimized based on the calculation results. Results showed that both the initial and optimized fuel systems meet the requirements for refueling time, and the requirements of electrostatic protection for the fuel flow rate inside the pipeline and inlet of the fuel tank during refueling. The optimized fuel system has a more similar refueling rate for each fuel tank and can effectively reduce the weight of fuel system's pipelines. The calculation results can provide guidance for the initial design of fuel system. © The Institution of engineering & technology 2024.

关键词： Aircraft fuels

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Hyperparameter Optimization for Capsule Network Based Modified Hybrid Rice Optimization Algorithm

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Intelligent Automation & Soft Computing 2023年第8期37卷 2019-2035页

作者： Zhiwei Ye Ziqian Fang Zhina Song Haigang Sui Chunyan Yan Wen Zhou Mingwei Wang School of Computer Science and Technology Hubei University of TechnologyWuhan430068China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan430079China

Hyperparameters play a vital impact in the performance of most machine learning *** is a challenge for traditional methods to con-figure hyperparameters of the capsule network to obtain high-performance *** swarm intelligence or evolutionary computation algorithms have been effectively employed to seek optimal hyperparameters as a com-binatorial optimization ***,these algorithms are prone to get trapped in the local optimal solution as random search strategies are *** inspiration for the hybrid rice optimization(HRO)algorithm is from the breeding technology of three-line hybrid rice in China,which has the advantages of easy implementation,less parameters and fast *** the paper,genetic search is combined with the hybrid rice optimization algorithm(GHRO)and employed to obtain the optimal hyperparameter of the capsule network automatically,that is,a probability search technique and a hybridization strategy belong with the primary *** benchmark functions are used to evaluate the performance of ***,the MNIST,Chest X-Ray(pneumonia),and Chest X-Ray(COVID-19&pneumonia)datasets are also utilized to evaluate the capsule network learnt by *** experimental results show that GHRO is an effective method for optimizing the hyperparameters of the capsule network,which is able to boost the performance of the capsule network on image classification.

关键词： Hyperparameter optimization hybrid rice optimization algorithm genetic algorithm capsule network image classification

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Beam Training and Tracking in mmWave Communication:A Survey

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China Communications 2024年第6期21卷 1-22页

作者： Wang Yi Wei Zhiqing Feng Zhiyong Yangtze Delta Region Institute(Quzhou) University of Electronic Science and Technology of ChinaQuzhou 324003China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China

Communicating on millimeter wave(mmWave)bands is ushering in a new epoch of mobile communication which provides the availability of 10 Gbps high data rate ***,mmWave links are easily prone to short transmission range communication because of the serious free space path loss and the blockage by *** overcome these challenges,highly directional beams are exploited to achieve robust links by hybrid *** aligning the transmitter and receiver beams,*** training,is vitally important to high data rate ***,it may cause huge overhead which has negative effects on initial access,handover,and ***,the mobility patterns of users are complicated and dynamic,which may cause tracking error and large tracking *** efficient beam tracking method has a positive effect on sustaining robust *** article provides an overview of the beam training and tracking technologies on mmWave bands and reveals the insights for future research in the 6th Generation(6G)mobile ***,some open research problems are proposed to realize fast,accurate,and robust beam training and *** hope that this survey provides guidelines for the researchers in the area of mmWave communications.

关键词： 6G beam tracking beam training beamforming mmWave

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