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A general and facile calcination method to synthesize single-site catalysts for highly efficient electrochemical CO_(2) reduction

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Nano research 2024年第5期17卷 3895-3901页

作者： Rui Sui Bingyan Wang Yongsheng Wang Jiajing Pei Wei Zhu Wenxing Chen Chunhui Li Ailing Sun Zhongbin Zhuang Engineering Research Center of Advanced Rare Earth Materials Department of ChemistryTsinghua UniversityBeijing 100084China College of Chemistry and Green Catalysis Center Zhengzhou UniversityZhengzhou 450001China State Key Lab of Organic-Inorganic Composites and Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China

The electrochemical CO_(2) reduction reaction(CO_(2)RR)has received widespread attention as a promising method for producing sustainable chemicals and mitigating the global ***,we demonstrate a general and facile synthetic route for the metal-nitrogen-carbon(M-N-C)type catalyst by simply calcinating metal acetate and urea with commercial carbon black,which have potential application in CO_(2)*** synthesized Ni-NC-600 catalyst has the structure of single Ni atom coordinated with one N atom and three C atoms(Ni-N_(1)C_(3)),which is suggested by X-ray absorption *** Ni-NC-600 catalyst exhibits high CO_(2)RR catalytic performance and a high CO Faraday efficiency above 98%in a wide potential range from-0.7 to-1.3 V(*** hydrogen electrode(RHE)),superior to most of the reported Ni-N-C *** work has developed a facile strategy to synthesize high performance CO_(2)RR catalyst.

关键词： nickel single atom catalyst CO_(2)reduction reaction CO production electrocatalyst

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A Collaborative Heterogeneous Graph Neural Network for Personalized News Recommendation

A Collaborative Heterogeneous Graph Neural Network for Perso...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Shi, Chenglong Geng, Haibin Jiang, Wenfeng Li, Jinbao Wu, Chao Liu, Song Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9781665410205

Personalized news recommendation is the process of predicting the relevance of news to users and recommending news to user to fulfill their information needs. However, existing news recommendation methods extract semantic information from users and candidate news respectively, ignoring semantic interaction information between users and candidate news. Furthermore, previous models only use same node types for message passing, ignoring different characteristics and topology between different node types. In addition, existing methods learn news representations through text representations, ignoring semantic correlation information between entity relationships and texts. To solve these problems, we propose a personalized news recommendation model named CoHG. In our model, we design a collaborative fusion module to obtain semantic interaction information through interacting user history news with candidate news. Furthermore, we design a heterogeneous gated graph neural network that maps different node types into a same space to extract higher-order information in user graphs for message passing. Moreover, we design an enhanced relevant attention module to enhance semantic correlation information of text content by aggregating text representation and entity representation into a unified representation. Finally, we conducted experiments on MIND and Adressa datasets to compare with other baseline models. © 2024 IEEE.

关键词： Graph neural networks

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Microstructure recognition of steels by machine learning based on visual attention mechanism

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Journal of Iron and Steel research International 2024年第4期31卷 909-923页

作者： Xing-yu Chen Lin Cheng Cheng-yang Hu Yu-peng Zhang Kai-ming Wu The State Key Laboratory of Refractories and Metallurgy Hubei Province Key Laboratory of Systems Science on Metallurgical ProcessingInternational Research Institute for Steel TechnologyCollaborative Center on Advanced SteelsWuhan University of Science and TechnologyWuhan 430081HubeiChina Metals Valley and Band(Foshan)Metallic Composite Materials Co. Ltd.Foshan 528000GuangdongChina

U-Net has achieved good performance with the small-scale datasets through skip connections to merge the features of the low-level layers and high-level layers and has been widely utilized in biomedical image segmentation as well as recent microstructure image segregation of the *** representative visual attention mechanism modules,named as squeeze-and-excitation networks,convolutional block attention module,and extended calibration algorithm,were intro-duced into the traditional U-Net architecture to further improve the prediction *** is found that compared with the original U-Net architecture,the evaluation index of the improved U-Net architecture has been significantly improved for the microstructure segmentation of the steels with the ferrite/martensite composite microstructure and pearlite/ferrite composite microstructure and the complex martensite/austenite island/bainite microstructure,which demonstrates the advantages of the utilization of the visual attention mechanism in the microstructure *** reasons for the accuracy improvement were discussed based on the feature maps analysis.

关键词： Microstructure recognition-Steel Machine learning Visual attention mechanism Visualization

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Defect engineering and Ni promoter synergistically accelerating electron transfer to Ru^(0) sites in UiO-66(Ce) for dicyclopentadiene hydrogenation under mild condition

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Nano research 2024年第11期17卷 9550-9563页

作者： Rushuo Li Tao Ban Danfeng Zhao Jing Lin Zhiyuan Liu Linmeng Wang Xiubing Huang Zhiping Tao Ge Wang Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory of Function Materials for Molecule and Structure Construction School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China Sinopec Research Institute of Petroleum Processing Co. Ltd. Beijing 100083 China

Olefin hydrogenation under mild condition is crucial and challenging for industrial applications. Herein, defective UiO-66(Ce) was constructed by using cyanuric acid as the molecular etching “scissors” and further to synthesize heterogeneous catalyst with highly dispersed RuNi nanoparticles (Ru1Ni1.5@UiO-66(Ce)-12 h). The construction of Ce-O-Ru/Ni heterogeneous interfaces and Ni–Ru bonds provide electron transfer channels from Ce-oxo clusters and Ni species to Ru species. Furthermore, the microenvironment and electronic structure of Ru0 active sites were synergistically regulated by adjusting the content of metal-organic frameworks (MOFs) defects and Ni promoter, thereby enhancing the adsorption and activation ability of H–H and C=C bonds. Therefore, Ru1Ni1.5@UiO-66(Ce)-12 h achieved dicyclopentadiene saturated hydrogenation (100% conversion) to tetrahydrodicyclopentadiene (∼ 100% selectivity) under mild condition (35℃, 1 MPa) with only 25 min. Meanwhile, the sample exhibited excellent structural stability after 6 cycles test. This study provides a promising strategy for the rational design of remarkable noble metal-based catalysts for practical applications.

关键词： metal-organic frameworks defect engineering Ni promoter electron-rich Ru^(0)active sites dicyclopentadiene hydrogenation

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Defect electrons accelerate iron cycle of novel Fe-based Fenton:Long-term effective quinoline degradation

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Chinese Chemical Letters 2023年第6期34卷 598-605页

作者： Weikang Hu Ming Yang Qingyun Yan Jiahui Ji Yan Bao Jinlong Zhang Mingyang Xing Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research CenterFrontiers Science Center for Materiobiology and Dynamic ChemistryInstitute of Fine ChemicalsSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai 200237China

Heterogeneous Fenton has been widely used in the disposal of organic pollutants,however,slow regeneration of≡Fe(II)remains limitation for its practical application of long-term ***,we come up with a novel Fe-based heterogeneous Fenton catalyst named as FeS_(x)O_(y)-X(X is the ratio of ethylene glycol to N,N-dimethylformamide).With the help of the abundant defect electrons in Sulfur vacancies,≡Fe(Ⅱ)regeneration on the surface of FeS_(x)O_(y)-1:1 was accelerated,resulting in a stable proportion of≡Fe(Ⅱ)on the surface,which maintained continuously stable generation of hydroxyl radical(·OH)and singlet oxygen(^(1)O_(2)).Thus,without any organic reagents or cocatalysts,FeS_(x)O_(y)-1:1 based Fenton system achieved effective long-term degradation of 560 mg/L quinoline within only 7 days,which was evidently better than reported Fe S and SV-Fe S_(2)(SV:Sulfur vacancy).The system had excellent adaptability to water quality and the COD removal rate of biochemical wastewater was as high as 79.8%.

关键词： Fenton reaction Quinoline Defect electron Iron cycle Heterogeneous catalyst

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Structure and electrochemical performance of delafossite AgFeO_(2)nanoparticles for supercapacitor electrodes

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 201-213页

作者： Choulong Veann Thongsuk Sichumsaeng Ornuma Kalawa Narong Chanlek Pinit Kidkhunthod Santi Maensiri School of Physics Institute of ScienceSuranaree University of TechnologyNakhon Ratchasima 30000Thailand SUT Center of Excellence on Advanced Functional Materials Suranaree University of TechnologyNakhon Ratchasima 30000Thailand Synchrotron Light Research Institute Nakhon Ratchasima 30000Thailand Department of Physics Universitas Negeri MalangMalang 65145Indonesia

Delafossite AgFeO_(2)nanoparticles with a mixture of 2H and 3R phases were successfully fabricated by using a simple co-precipitation *** resulting precursor was calcined at temperatures of 100,200,300,400,and 500℃to obtain the delafossite AgFe0_(2)*** morphology and microstructure of the prepared AgFeO_(2)samples were characterized by using field emission scanning electron microscopy(FESEM),transmission electron microscopy(TEM),N_(2) adsorption/desorption,X-ray absorption spectroscopy(XAS),and Xray photoelectron spectroscopy(XPS)techniques.A three-electrode system was employed to investigate the electrochemical properties of the delafossite AgFeO_(2)nanoparticles in a 3 M KOH *** delafossite AgFeO_(2)nanoparticles calcined at 100℃(AFO100)exhibited the highest surface area of 28.02 m^(2)·g^(-1)and outstanding electrochemical performance with specific capacitances of 229.71 F·g^(-1)at a current density of 1 A·g^(-1)and 358.32 F·g^(-1)at a scan rate of 2 mV·s^(-1).This sample also demonstrated the capacitance retention of 82.99% after 1000 charge/discharge cycles,along with superior specific power and specific energy values of 797.46 W·kg^(-1)and 72.74Wh·kg^(-1),*** findings indicate that delafossite AgFeO_(2)has great potential as an electrode material for supercapacitor applications.

关键词： nanoparticles delafossite electrochemical properties X-ray absorption spectroscopy co-precipitation supercapacitor

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Generation of 9 MW Peak Power from a Prechirped Mamyshev Oscillator Utilizing a Hollow-core Fiber

Generation of 9 MW Peak Power from a Prechirped Mamyshev Osc...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024

作者： Wang, Shan Zhuang, Ziheng Luo, Weija Zhang, Xin Zhang, Cong Lin, Di Fu, Songnian Wang, Pu Qin, Yuwen Institute of Advanced Photonics Technology School of Information Engineering Guangdong University of Technology Guangzhou China Institute of Laser Engineering Beijing Engineering Research Center of Laser Applied Technology BeijingUniversity of Technology Beijing China

We report an Yb-doped fiber Mamyshev oscillator employing pre-chirp management through a hollow-core fiber, capable of generating externally de-chirped pulses with a duration of sub-40 fs and a peak power of ~9.7 MW. ... 详细信息

ISBN: (纸本)9798350379266

关键词： Oscillistors

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An Entity Relation Extraction Framework Based on Large Language Model and Multi-Tasks Iterative Prompt Engineering

An Entity Relation Extraction Framework Based on Large Langu...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Geng, Haibin Shi, Chenglong Jiang, Xuesong Kong, Zan Liu, Song Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9781665410205

Document-level entity relation extraction is an important task in the field of natural language processing, which plays an important role in semantic understanding and knowledge graph construction. However, existing deep neural networks and graph neural networks models are limited by their performance and parameters number, which can not capture global semantics and have poor generalization ability. Furthermore, existing methods employing large language model for entity relation extraction do not establish good relationships among multi-tasks of entity relation extraction task, resulting in more information can not be effectively shared and transmitted between tasks. In addition, previous approaches can not effectively eliminate false entities and relationships. To solve these problems, we propose an entity relation extraction framework based on large language model and multi-tasks iterative prompt engineering. In our model, we design an iterative prompt engineering, which can better establish the relationship among multi-tasks, and ensure every task to obtain the optimal results. Moreover, we design semantic merging, group disambiguation and self-verification modules to eliminate the false entity relations and noise nodes. Additionally, we design summary prompts to provide sufficient global semantics for better text segmentation. Finally, we evaluated our model on wikiann, wikineural, ACE2005, CoNLL2003, CoNLL2004, and SciERC datasets and compared it with other baseline models. © 2024 IEEE.

关键词： Graph neural networks

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Review of Knowledge Graph and Its Vertical Applications in Industry 42

Review of Knowledge Graph and Its Vertical Applications in I...

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42nd Chinese Control Conference, CCC 2023

作者： Jie, Li Feng, Zhanbiao Zhang, Mengyang Jing, Fengwei Guo, Qiang University of Science and Technology Beijing Department of National Engineering Research Center for Advanced Rolling Technology Beijing100083 China

ISBN: (纸本)9789887581543

Knowledge graph (KG) are powerful tools for organizing and managing knowledge, and have been widely applied in many fields. KG describes the objective physical world intuitively using the semantic network, and it explicitly represents and stores related data, enabling intelligent applications like semantic search, intelligent question answering, and decision support. This paper begins with a brief history of the development of KG, as well as an explanation of its concept and technical advantages. Next, it introduces the key technologies of Information extraction, knowledge fusion and knowledge processing. Finally, it summarizes the status of research on knowledge graph and the progress made in their application in vertical areas. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Knowledge management

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Functionalization Strategies of Iron Sulfi des for High-Performance Supercapacitors

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Transactions of Tianjin University 2024年第6期30卷 518-543页

作者： Can Wang Yuxin Zhang Shude Liu Danping Wang College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Engineering Research Center of Technical Textiles Ministry of EducationShanghai Frontiers Science Center of Advanced TextilesCollege of TextilesDonghua UniversityShanghai 201620China Singapore Institute of Technology Singapore 138683Singapore

Supercapacitors have emerged as a promising class of energy storage technologies,renowned for their impressive specifi c capacities and reliable cycling *** attributes are increasingly signifi cant amid the growing environmental challenges stemming from rapid global economic growth and increased fossil fuel *** electrochemical performance of supercapacitors largely depends on the properties of the electrode materials *** these,iron-based sulfi de(IBS)materials have attracted signifi cant attention for use as anode materials owing to their high specifi c capacity,eco-friendliness,and cost-eff *** these advantages,IBS electrode materials often face challenges such as poor electrical conductivity,compromised chemical stability,and large volume changes during charge–discharge *** review article comprehensively examines recent research eff orts aiming at improving the performance of IBS materials,focusing on three main approaches:nanostructure design(including 0D nanoparticles,1D nanowires,2D nanosheets,and 3D structures),composite development(including carbonaceous materials,metal compounds,and polymers),and material defect engineering(through doping and vacancy introduction).The article sheds light on novel concepts and methodologies designed to address the inherent limitations of IBS electrode materials in *** conceptual frameworks and strategic interventions are expected to be applied to other nanomaterials,driving advancements in electrochemical energy conversion.

关键词： Anode materials Supercapacitors Electrochemical performance Nanostructures Carbonaceous materials

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