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Journal of Energy Chemistry 2024年第3期90卷 600-609,I0013页

作者： Juntao Gao Zhiyun Wei Mengke yuan zhe wang zhe Lü Qiang Li Lingling Xu Bo Wei School of Physics Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Key Laboratory of Functional Inorganic Material Chemistry Ministry of EducationSchool of Chemistry and Materials ScienceHeilongjiang UniversityHarbin 150080HeilongjiangChina School of Physics and Electronic Engineering Harbin Normal UniversityHarbin 150025HeilongjiangChina

Developing efficient and stable cathodes for low-temperature solid oxide fuel cells(LT-SOFCs) is of great importance for the practical ***,we propose a series of Sm-modified Bi_(0.7-x)Sm_xSr_(0.3)FeO_(3-δ) perovskites as highly-active catalysts for *** doping can significantly enhance the electrocata lytic activity and chemical stability of *** 600℃,Bi_(0.675)Sm_(0.025)Sr_(0.3)FeO_(3-δ)(BSSF25) cathode has been found to be the optimum composition with a polarization resistance of 0.098 Ω cm^2,which is only around 22.8% of Bi_(0.7)Sr_(0.3)FeO_(3-δ)(BSF).A full cell utilizing BSSF25 displays an exceptional output density of 790 mW cm^(-2),which can operate continuously over100 h without obvious *** remarkable electrochemical performance observed can be attributed to the improved O_(2) transport kinetics,superior surface oxygen adsorption capacity,as well as O_(2)p band centers in close proximity to the Fermi ***,larger average bonding energy(ABE) and the presence of highly acidic Bi,Sm,and Fe ions restrict the adsorption of CO_(2) on the cathode surface,resulting in excellent CO_(2) *** work provides valuable guidance for systematic design of efficient and durable catalysts for LT-SOFCs.

关键词： Low-temperature solid oxide fuel cell Perovskite cathode DFT calculations CO_(2) tolerance

Index-free triangle-based graph local clustering

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Frontiers of Computer Science 2024年第3期18卷 143-153页

作者： zhe yuan zhewei WEI Fangrui LV Ji-Rong WEN The Country and Area Studies Academy Beijing Foreign Studies UniversityBeijing 100089China Gaoling School of Artificial Intelligence Renmin University of ChinaBeijing 100872China

Motif-based graph local clustering(MGLC)is a popular method for graph mining tasks due to its various ***,the traditional two-phase approach of precomputing motif weights before performing local clustering loses locality and is impractical for large *** some attempts have been made to address the efficiency bottleneck,there is still no applicable algorithm for large scale graphs with billions of *** this paper,we propose a purely local and index-free method called Index-free Triangle-based Graph Local Clustering(TGLC^(*))to solve the MGLC problem w.r.t.a ***^(*)directly estimates the Personalized PageRank(PPR)vector using random walks with the desired triangleweighted distribution and proposes the clustering result using a standard sweep *** demonstrate TGLC^(*)’s scalability through theoretical analysis and its practical benefits through a novel visualization ***^(*)is the first algorithm to solve the MGLC problem without precomputing the motif *** experiments on seven real-world large-scale datasets show that TGLC^(*)is applicable and scalable for large graphs.

关键词： graph local clustering triangle motif index-free sampling method visualization

Simultaneously enhancing erosion and compression resistance:designing AlCoCrFeNi high-entropy alloy strengthened Ag-based contacts

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Rare Metals 2024年第9期43卷 4476-4492页

作者： Xiao-Yang Xue zhe wang Hui-Ling Nie Zhao yuan Jun wang Chang-Hu Xu Kai Wen Cong-Hao Yu School of Materials Science and Engineering Xi’an Polytechnic UniversityXi’an 710048China School of Physics Xi’an Jiaotong UniversityXi’an 710049China Key Laboratory of Pulsed Power Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Designing microstructures and unveiling dynamic erosion mechanisms remain important challenges for Ag-based *** simultaneously enhance erosion and compression resistance,an Al Co Cr Fe Ni high-entropy alloy(HEA)is introduced into Ag-based materials to fabricate novel Ag-HEA contacts with island-and skeletonrestricted *** arc erosion experimental results reveal that the skeleton-restricted HEA microstructure is the key factor in reducing the hill and crater morphologies of the contact surface,effectively delaying material transfer between the movable and stationary *** molten bridge evolution and compressive deformation behavior of Ag-HEA contacts with various microstructures are investigated using molecular dynamics(MD)*** results indicate that the constraint of Ag atom diffusion in the molten pool and the involvement of HEA atoms in the molten bridge are the primary mechanisms for improving erosion *** skeleton-restricted HEA microstructure reduces the total energy and structural stability of the molten bridge system and promotes its fracture and ***,the synergistic effect of the twin and Lomerz–Cottrell lock structures can hinder dislocation glide,generating dispersed and small-area stacking faults in the Ag matrix and mitigating the concentration of shear ***,the skeleton-restricted HEA microstructure contributes positively to compression *** study presents a novel approach to designing Ag-based contacts.

关键词： Electrical contact materials High entropy alloys Arc erosion Molecular dynamics Microstructures

Chemotherapy for patients with gastric cancer after complete resection: A network meta-analysis

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World Journal of Gastroenterology 2014年第2期20卷 584-592页

作者： Ya-Wu Zhang Yu-Long Zhang Hui Pan Feng-Xian Wei You-Cheng Zhang yuan Shao Wei Han Hai-Peng Liu zhe-yuan wang Sun-Hu Yang Department of General Surgery Lanzhou University Second Hospital

AIM: To conduct a network meta-analysis to evaluate the effectiveness of different chemotherapy regimens for patients with gastric cancer.

关键词： Gastric cancer Chemotherapy Randomized controlled trials Indirect treatment comparison Network meta-analysis

High cerium content(Nd-Pr-Ce)_(2)Fe_(14)B melt-spun ribbons with high coercivity

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Journal of Rare Earths 2024年第4期42卷 690-695页

作者： Yujiang Zhong Junming wang Zikai yuan Ruijin Liu Minggang Zhu zhe Liu Xin Chen Wei Li Zhaohui Guo Division of Functional Materials Central Iron and Steel Research InstituteBeijing100081China Ningbo Jinji Strong Magnetic Material Co. Ltd.Ningbo315172China Jiangxi Jiangwu Rare Metal New Material Co. Ltd.Nanchang330013China

The effects of wheel speeds on the magnetic properties and microstructures of[(Nd,Pr)_(1-x)Ce_(x)]-Fe-B meltspun ribbons were *** to melt-spun ribbons with low cerium(Ce)content(x=0.2),amorphous formation can be suppressed at high wheel speed in the ribbons with a relatively high Ce content(x=0.8),and with the increase of the wheel speed,the magnetic properties of the ribbons with high Ce content raise *** high wheel speed,the coercivity mechanism of melt-spun ribbons is mainly pinning field,and the high wheel speed introduces a large number of defects into the matrix as pinning ***,ribbons with high Ce content form a fine and uniform grain structure,so the grain boundary area enlarges,which further hinders the movement of domain *** combined effects of the above factors enable ribbons with high Ce content to have excellent magnetic properties(Hcj=0.977 T,Mr=64 m^(2) A/kg)at the wheel speed of 35 m/s.

关键词： Wheel speed Cecontent Microstructure Magnetic properties Rare earths

A Real-time Prediction System for Molecular-level Information of Heavy Oil Based on Machine Learning

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China Petroleum Processing & Petrochemical Technology 2024年第2期26卷 121-134页

作者： yuan Zhuang wang yuan Zhang Zhibo yuan Yibo Yang zhe Xu Wei Lin Yang Yan Hao Zhou Xin Zhao Hui Yang Chaohe State Key Laboratory of Chemical Safety SINOPEC Research Institute of Safety Engineering Co.LtdQingdaoShandong 266000People’s Republic of China State Key Laboratory of Heavy Oil Processing China University of PetroleumQingdaoShandong 266580People’s Republic of China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdaoShandong 266100People’s Republic of China

Acquiring accurate molecular-level information about petroleum is crucial for refining and chemical enterprises to implement the“selection of the optimal processing route”*** the development of data prediction systems represented by machine learning,it has become possible for real-time prediction systems of petroleum fraction molecular information to replace analyses such as gas chromatography and mass ***,the biggest difficulty lies in acquiring the data required for training the neural *** address these issues,this work proposes an innovative method that utilizes the Aspen HYSYS and full two-dimensional gas chromatography-time-of-flight mass spectrometry to establish a comprehensive training ***,a deep neural network prediction model is developed for heavy distillate oil to predict its composition in terms of molecular *** training,the model accurately predicts the molecular composition of catalytically cracked raw oil in a *** validation and test sets exhibit R2 values of 0.99769 and 0.99807,respectively,and the average relative error of molecular composition prediction for raw materials of the catalytic cracking unit is less than 7%.Finally,the SHAP(SHapley Additive ExPlanation)interpretation method is used to disclose the relationship among different variables by performing global and local weight comparisons and correlation analyses.

关键词： heavy distillate oil molecular composition deep learning SHAP interpretation method

Nanoindentation behavior and creep-induced cracking of long-term crept austenitic steel at 650℃

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Journal of Iron and Steel Research International 2024年第2期31卷 464-474页

作者： zhen Zhang Yu-hang Duan Shuai wang Jin-shan Chen An-zhe wang Xiang-yang Mao yuan-ji Shi Jie Zhang Ming Liu zheng-fei Hu School of Materials Science and Engineering Nanjing Institute of TechnologyNanjing211167JiangsuChina Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing211167JiangsuChina Jiangsu Wind Power Engineering Technology Center Nanjing210023JiangsuChina Nanjing Vocational University of Industry Technology Nanjing210023JiangsuChina Baoshan Iron&Steel Co. Ltd.Shanghai201900China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou350116FujianChina School of Materials Science and Engineering Tongji UniversityShanghai201804China

The grain boundary(GB)damage of long-term crept HR3C(25Cr–20Ni–Nb–N)austenitic steel with solid solution state was investigated by nanoindentation test accompanied with in-situ electron back-scattered *** corresponding microstructure was characterized by scanning electron microscopy and transmission electron *** show that the increase in nanoindentation hardness at the GBs and triple grain junctions may be related to the dislocation accumulation and carbide growth during the *** M23C6 and dislocations piling-up at the GB accelerate the nucleation and coalescence of creep cavity along the *** nanoindentation hardness in grains varies with orientation of the stress *** orientation difference of neighbor grains may induce local high geometrically necessary dislocation densities and strain gradients near the GB,consequently causing stress concentration and subsequent crack growth at specific GBs.

关键词： Austenitic steel Creep Nanoindentation Grain orientation Creep-induced cracking

Optical modification of nonlinear crystals for quasi-parametric chirped-pulse amplification

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Fundamental Research 2024年第1期4卷 43-50页

作者： Qian Lin Jingui Ma zhe Yin Peng yuan Jing wang Guoqiang Xie Liejia Qian Key Laboratory for Laser Plasmas(MOE) Collaborative Innovation Center of IFSASchool of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China

Quasi-parametric chirped-pulse amplification(QPCPA),which features a theoretical peak power much higher than those obtained with Ti:sapphire laser or optical parametric chirped-pulse amplification,is promising for future ultra-intense *** doped rare-earth ion used for idler dissipation is critical for effective QPCPA,but is usually not compatible with traditional *** far,only one dissipative crystal of Sm^(3+)-doped yttrium calcium oxyborate has been grown and *** we introduce optical means to modify traditional crystals for QPCPA *** theoretically demonstrate two dissipation schemes by idler frequency doubling and sum-frequency generation with an additional *** contrast to absorption dissipation,the proposed nonlinear dissipations ensure not only high signal efficiency but also high small-signal *** demonstrated ability to optically modify crystals will facilitate the wide application of QPCPA.

关键词： Quasi-parametric amplifier Second-harmonic generation Sum-frequency generation Back conversion Idler dissipation

Delicate chemical structure regulation of nonfullerene acceptor for efficient and large thickness organic solar cells

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Science China Chemistry 2024年第5期67卷 1596-1604页

作者： zhe Zhang Wanying Feng Yunxin Zhang Shaohui yuan Yuyang Bai Peiran wang Zhaoyang Yao Chenxi Li Tainan Duan Xiangjian Wan Bin Kan Yongsheng Chen State Key Laboratory and Institute of Elemento-Organic Chemistry Frontiers Science Center for New Organic MatterThe Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer MaterialsRenewable Energy Conversion and Storage Center(RECAST)College of ChemistryNankai UniversityTianjin 300071China School of Materials Science and Engineering National Institute for Advanced MaterialsNankai UniversityTianjin 300350China Chongqing Institute of Green and Intelligent Technology Chongqing SchoolUniversity of Chinese Academy of Sciences(UCAS Chongqing)Chinese Academy of SciencesChongqing 400722China

Inspired by the success of CH-series acceptors, a small-molecular acceptor, CH-Tz was reported by adopting a new conjugationextended electron-deficient unit([1,2,5]thiadiazolo[3,4-b]pyrazine) on the central core. Owing to the enhanced inter-/intramolecular interactions, CH-Tz exhibited near-infrared absorption and an effective three-dimensional molecular packing network in its single crystal. When blended with polymer donor PM6, the binary device achieved a high power conversion efficiency(PCE) of 18.54%, with a notable short-circuit current density(J_(sc)) of 27.54 m A cm-2and an excellent fill factor(FF) over 80%,which can be partly ascribed to the balanced charge transport properties in the blend film. After employing D18-Cl as the third component, an enhanced PCE of 18.85% was achieved due to a more obvious fiber network. Impressively, the CH-Tz-based OSC devices show excellent thermal stability and thickness insensitivity. Record-breaking Jscof 28.92 m A cm-2was reached for PM6:D18-Cl:CH-Tz ternary device with a thickness of 560 nm. Besides, CH-Tz shows potential in fabricating multicomponent high-performance organic solar cells, where over 19% efficiency could be realized in the quaternary device. Our work advances the strong influence of electron-deficient central units on molecular photovoltaic properties and guides the design of acceptors for stable and large-thickness organic solar cells.

关键词： organic solar cells non-fullerene acceptor central unit large thickness molecular packing

Deep learning methods for roping defect analysis in aluminum alloy sheets: prediction and grading

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Advances in Manufacturing 2024年第3期12卷 576-590页

作者： yuan-zhe Hu Ru-Xue Liu Jia-Peng He Guo-Wei Zhou Da-Yong Li State Key Laboratory of Mechanical Systems and Vibration Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240People’s Republic of China

Roping is a severe band-like surface defect that occurs in deformed aluminum alloy *** roping prediction and rating are essential for industrial ***,the authors introduced an artificial neural network(ANN)model to efficiently forecast roping behavior across the thickness of large regions with texture *** this study,the previously proposed ANN model for roping prediction is briefly reviewed,and a few-shot learning(FSL)-based method is developed for roping grading with limited *** consider the directionality of the roping patterns,the roping dataset constructed from experimental observations is transformed into the frequency domain for more compact characterization.A transfer-based FSL method is further presented for grade roping with manifold mixup regularization and the Sinkhorn mapping algorithm.A new component-focused representation is also implemented for data-processing,exploiting the close correlation between roping and power distribution in the frequency *** ultimate FSL method achieved an optimal accuracy of 95.65%in roping classification with only five training samples per class,outperforming four typical FSL *** FSL approach can be applied to grade the roping morphologies predicted by the ANN ***,the combination of prediction and grading using deep learning provides a new paradigm for roping analysis and control.

关键词： Roping Artificial neural network(ANN) Aluminum alloys Few-shot classification Surface morphology