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Frontiers of materials science 2024年第2期18卷 89-100页

作者： Dandan Hu Linxiu Sui Jinjin Shi Dongfeng Li Yuxuan Zhang Yimeng Li Bingbing Hu Xiaoya Yuan School of materials science and Engineering Chongqing Jiaotong UniversityChongqing 400074China Institute of Advanced Functional materials Chongqing Jiaotong UniversityChongqing 400074China chongqing 2D materials Institute Liangjiang New AreaChongqing 400044China

In this work,C@Fe_(3)O_(4) composites were prepared through a typical template method with emulsified asphalt as carbon source,ammonium ferric citrate as transition metal oxide precursor,and NaCl as *** an anode for lithium-ion batteries,the optimized C@Fe_(3)O_(4)-1:2 composite exhibits an excellent reversible capacity of 856.6 mA·h·g^(-1)after 100 cycles at 0.1A·g^(-1)and a high capacity of 531.1mA·h·g^(-1)after 300 cycles at 1 A·g^(-1),much better than those of bulk carbon/Fe_(3)O_(4) prepared without *** remarkable cycling performance mainly benefits from its well-designed structure:Fe_(3)O_(4) nanoparticles generated from ammonium ferric citrate during pyrolysis are homogenously encapsulated in graphitized and in-plane porous carbon nanocages derived from petroleum *** carbon nanocages not only improve the conductivity of Fe_(3)O_(4),but also suppress the volume expansion of FesO4 effectively during the charge discharge cycle,thus delivering a robust electrochemical *** work realizes the high value-added utilization of low-cost petroleum asphalt,and can be extended to application of other transition-metal oxides-based anodes.

关键词： emulsified asphalt Fe_(3)O_(4)nanoparticle in-plane pore lithium-ion battery anode

MSADCN:Multi-Scale Attentional Densely Connected Network for Automated Bone Age Assessment

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Computers, materials & Continua 2024年第2期78卷 2225-2243页

作者： Yanjun Yu Lei Yu Huiqi Wang Haodong Zheng Yi Deng college of Computer and Information science Chongqing Normal UniversityChongqing401331China college of Mathematics and Statistics Chongqing UniversityChongqing401331China

Bone age assessment(BAA)helps doctors determine how a child’s bones grow and develop in clinical *** BAA methods rely on clinician expertise,leading to time-consuming predictions and inaccurate *** deep learning-based BAA methods feed the extracted critical points of images into the network by providing additional *** operation is costly and *** address these problems,we propose a multi-scale attentional densely connected network(MSADCN)in this *** constructs a multi-scale dense connectivity mechanism,which can avoid overfitting,obtain the local features effectively and prevent gradient vanishing even in limited training ***,MSADCN designs multi-scale structures in the densely connected network to extract fine-grained features at different ***,coordinate attention is embedded to focus on critical features and automatically locate the regions of interest(ROI)without additional *** addition,to improve the model’s generalization,transfer learning is applied to train the proposed MSADCN on the public dataset IMDB-WIKI,and the obtained pre-trained weights are loaded onto the Radiological Society of North America(RSNA)***,label distribution learning(LDL)and expectation regression techniques are introduced into our model to exploit the correlation between hand bone images of different ages,which can obtain stable age *** experiments confirm that our model can converge more efficiently and obtain a mean absolute error(MAE)of 4.64 months,outperforming some state-of-the-art BAA methods.

关键词： Bone age assessment deep learning attentional densely connected network muti-scale

Effects of longitudinal magnetic field on primary dendrite spacing and segregation of directionally solidified single crystal superalloy

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Progress in Natural science:materials International 2024年第1期34卷 26-36页

作者： Congjiang Zhang Yilin Zhou Chen Shen Weili Ren Xiaotan Yuan Biao Ding Haibiao Lu Zuosheng Lei Yunbo Zhong Ang Zhang State Key Laboratory of Advanced Special Steel College of Materials Science and Engineering Shanghai University National Engineering Research Center for Magnesium Alloys Natural Key Laboratory of Advanced Casting Technologies College of Materials Science and EngineeringChongqing University

The primary dendrite spacing(PDS) and segregation of directionally solidified single crystal(SC) superalloy under the longitudinal magnetic field(LMF) were investigated based on the analysis of the whole cross-sectional microstructure at different solidification distances. The results show that the PDS under the LMF remains basically unchanged at different solidification distances, and it is greater than that under no LMF. With the increase of magnetic field intensity, the PDS increases and the macrosegregation decreases. The increasing PDS and reducing segregation under the LMF can be attributed to the increase of solute boundary layer, which expands the non-equilibrium freezing temperature range and brings the effective partition coefficient closer to 1. The increase of the solute enrichment layer thickness could be caused by the downward secondary circulation generated by the thermoelectric magnetic convection(TEMC) near the interface, which drives the migration of solutes towards the interdendritic region. This work not only clarifies the mechanism of LMF controlling PDS and reducing segregation by TEMC, but also provides theoretical guidance for producing high-quality SC superalloys using magnetic fields.

关键词： Primary dendrite spacing Segregation Single crystal superalloy Directional solidification Magnetic field Thermoelectric magnetic convection

A perspective on the key factors of safety for rechargeable magnesium batteries

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Journal of Energy Chemistry 2024年第7期94卷 656-676页

作者： Shuangshuang Tan Jie Xu Rongrui Deng Qiannan Zhao Chaohe Xu Guangsheng Huang Jingfeng Wang Fusheng Pan National Engineering Research Center for Magnesium Alloys Chongqing UniversityChongqing 400044China National Innovation Center for Industry-Education Integration of Energy Storage Technology College of Materials Science and EngineeringChongqing UniversityChongqing 400044China chongqing Institute of New Energy Storage materials and Equipment Chongqing 401135China

Rechargeable Mg batteries(RMBs)have become one of the best subsitutes for lithium-ion batteries due to the high volumetric capacity,abundant resources,and uniform plating behavior of Mg metal ***,the safety hazard induced by the formation of high-modulue Mg dendrites under a high current density(10 mA cm^(-1))was still revealed in recent *** has forced researchers to re-examine the safety of *** this review,the intrinsic safety factors of key components in RMBs,such as uneven plating,pitting and flammability of Mg anode,heat release and crystalline water decomposition of cathode,strong corrosion,low oxidition stability and flammability of electrolytes,and soforth,are systematacially *** origins,formation mechanisms,and possible safety hazards are deeply *** develop high-performance Mg anode,current strategies including designing artificial SEI,three-dimensional substrates,and Mg alloys are *** practical electrolytes,the configurations of boron-centered anions and simple Mg salts and the functionalized solvent with high boiling point and low flammability are suggested to comprehensively *** addition,the future study should more focus on the investigation on the thermal runaway and decomposition of cathode materials and *** review aims to provide fundamental insights into the relationship between electrochemistry and safety,further promoting the sustainable development of RMBs.

关键词： Rechargeable Mg batteries Battery safety Mg dendrites Electrolyte decomposition Intrinsic safety issues

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Antagonism effect of residual S triggers the dual-path mechanism for water oxidation

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Journal of Energy Chemistry 2024年第6期93卷 568-579,I0014页

作者： Li Liu Jinming Cao Siqi Hu Tinghui Liu Can Xu Wensheng Fu Xinguo Ma Xiaohui Yang chongqing Key Laboratory of Green Catalytic materials and Technology College of ChemistryChongqing Normal UniversityChongqing 401331China School of science Hubei University of TechnologyWuhan 430068HubeiChina chongqing Institute of Green and Intelligent Technology Chinese Academy of SciencesChongqing 400714China

Transition metal chalcogenides(TMCs)are recognized as pre-catalysts,and their(oxy)hydroxides derived from electrochemical reconstruction are the active species in the water ***,understanding the role of the residual chalcogen in the reconstructed layer is lacking in detail,and the corresponding catalytic mechanism remains ***,taking Cu_(1-x)Co_(x)S as a platform,we explore the regulating effect and existence form of the residual S doped into the reconstructive layer for oxygen evolution reaction(OER),where a dual-path OER mechanism is ***-principles calculations and operando~(18)O isotopic labeling experiments jointly reveal that the residual S in the reconstructive layer of Cu_(1-x)Co_(x)S can wisely balance the adsorbate evolution mechanism(AEM)and lattice oxygen oxidation mechanism(LOM)by activating lattice oxygen and optimizing the adsorption/desorption behaviors at metal active sites,rather than change the reaction mechanism from AEM to *** such a dual-path OER mechanism,Cu_(0.4)Co_(0.6)S-derived Cu_(0.4)Co_(0.6)OSH not only overcomes the restriction of linear scaling relationship in AEM,but also avoids the structural collapse caused by lattice oxygen migration in LOM,so as to greatly reduce the OER potential and improved stability.

关键词： Electrochemical reconstruction Adsorbate evolution mechanism Lattice oxygen oxidation mechanism Oxygen evolution reaction Residual sulfur

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ED-Ged:Nighttime Image Semantic Segmentation Based on Enhanced Detail and Bidirectional Guidance

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Computers, materials & Continua 2024年第8期80卷 2443-2462页

作者： Xiaoli Yuan Jianxun Zhang Xuejie Wang Zhuhong Chu college of Computer science and Engineering Chongqing University of TechnologyChongqing400054China

Semantic segmentation of driving scene images is crucial for autonomous *** deep learning technology has significantly improved daytime image semantic segmentation,nighttime images pose challenges due to factors like poor lighting and overexposure,making it difficult to recognize small *** address this,we propose an Image Adaptive Enhancement(IAEN)module comprising a parameter predictor(Edip),multiple image processing filters(Mdif),and a Detail Processing Module(DPM).Edip combines image processing filters to predict parameters like exposure and hue,optimizing image *** adopt a novel image encoder to enhance parameter prediction accuracy by enabling Edip to handle features at different *** strengthens overlooked image details,extending the IAEN module’s *** the segmentation network,we integrate a Depth Guided Filter(DGF)to refine segmentation *** entire network is trained end-to-end,with segmentation results guiding parameter prediction optimization,promoting self-learning and network *** lightweight and efficient network architecture is particularly suitable for addressing challenges in nighttime image *** experiments validate significant performance improvements of our approach on the ACDC-night and Nightcity datasets.

关键词： Night driving semantic segmentation nighttime image processing adverse illumination differentiable filters

An object detection approach with residual feature fusion and second-order term attention mechanism

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 411-424页

作者： Cuijin Li Zhong Qu Shengye Wang college of Computer science and Technology Chongqing University of Posts and TelecommunicationsChongqingChina college of Electronic Information Chongqing Institute of EngineeringChongqingChina

Automatically detecting and locating remote occlusion small objects from the images of complex traffic environments is a valuable and challenging *** the boundary box location is not sufficiently accurate and it is difficult to distinguish overlapping and occluded objects,the authors propose a network model with a second-order term attention mechanism and occlusion ***,the backbone network is built on *** a method is designed for the feature extraction network based on an item-wise attention mechanism,which uses the filtered weighted feature vector to replace the original residual fusion and adds a second-order term to reduce the information loss in the process of fusion and accelerate the convergence of the ***,an objected occlusion regression loss function is studied to reduce the problems of missed detections caused by dense *** experimental results demonstrate that the authors’method achieved state-of-the-art performance without reducing the detection *** mAP@.5 of the method is 85.8%on the Foggy_cityscapes dataset and the mAP@.5 of the method is 97.8%on the KITTI dataset.

关键词： artificial intelligence computer vision image processing machine learning neural network object recognition

Advanced electrospinning nanomaterials:From spinning fabrication techniques to electrochemical applications

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Nano Research 2024年第8期17卷 7077-7116页

作者： Jie Zhang Miao Yu Shuhui Tao college of materials science and Engineering Sichuan UniversityChengdu 610065China School of Mechanical Engineering Sichuan UniversityChengdu 610065China National university of Singapore(chongqing)Research Institute Chongqing 401123China

Fuel cells,rechargeable metal–air batteries,metal-ion batteries,and supercapacitors have been regarded as prospective energy sources technologies to replace the fossil ***,electrochemical sensors also have been successfully developed as promising platforms for detecting pollutants,drug analysis,and healthcare *** is a scalable and suitable technique to design and fabricate diverse nanofibers and their nanocomposites for key components in electrochemical ***,a comprehensive review of electrospinning,from the technological innovations to the novel electrospun composite nanofibers,is *** importantly,the recent advances on the diverse components of electrochemical devices are highlighted,followed with the detailed discussion about the corresponding enhancement mechanism based on the electrospun ***,the currently faced challenges on the fabrication of electrospun nanomaterials are raised and a brief perspective for the future development of electrospun nanomaterials-based electrochemical applications is prospected.

关键词： electrospinning carbon nanofibers metal-organic frameworks electrode materials electrochemical applications

A Shared Natural Neighbors Based-Hierarchical Clustering Algorithm for Discovering Arbitrary-Shaped Clusters

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Computers, materials & Continua 2024年第8期80卷 2031-2048页

作者： Zhongshang Chen Ji Feng Fapeng Cai Degang Yang college of Computer and Information science Chongqing Normal UniversityChongqing400030China

In clustering algorithms,the selection of neighbors significantly affects the quality of the final clustering *** various neighbor relationships exist,such as K-nearest neighbors,natural neighbors,and shared neighbors,most neighbor relationships can only handle single structural relationships,and the identification accuracy is low for datasets with multiple *** life,people’s first instinct for complex things is to divide them into multiple parts to *** the dataset into more sub-graphs is a good idea approach to identifying complex *** inspiration from this,we propose a novel neighbor method:Shared Natural Neighbors(SNaN).To demonstrate the superiority of this neighbor method,we propose a shared natural neighbors-based hierarchical clustering algorithm for discovering arbitrary-shaped clusters(HC-SNaN).Our algorithm excels in identifying both spherical clusters and manifold *** on synthetic datasets and real-world datasets,HC-SNaN demonstrates significant advantages over existing clustering algorithms,particularly when dealing with datasets containing arbitrary shapes.

关键词： Cluster analysis shared natural neighbor hierarchical clustering

Research progress of heterogeneous structure magnesium alloys:A review

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Journal of Magnesium and Alloys 2024年第6期12卷 2147-2181页

作者： Xiang Chen Junlei Zhang Min Wang Weizhang Wang Di Zhao Haiming Huang Qi Zhao Xiaofei Xu Hongxia Zhang Guangsheng Huang Hubei Longzhong Laboratory Wuhan University of Technology Xiangyang Demonstration ZoneXiangyang 441000China college of materials science and Engineering Hubei University of Automotive TechnologyShiyan 442002China college of materials science and Engineering Kunming University of Science and TechnologyKunming 650093China Hubei Key Laboratory of Energy Storage and Power Battery(Hubei university of Automotive Technology) Shiyan 442002China college of materials science and Engineering Chongqing UniversityChongqing 400044China School of Mechanical Engineering Suzhou University of Science and TechnologySuzhou 215009China

In recent years,a new class of metallic materials featuring heterogeneous structures has *** materials consist of distinct soft and hard domains with significant differences in mechanical properties,allowing them to maintain high strength while offering superior ***(Mg)alloys,renowned for their low density,high specific strength,exceptional vibration damping,and electromagnetic shielding properties,exhibit tremendous potential as lightweight and functional *** their advantageous properties,high-strength Mg alloys often suffer from limited ***,the emergence of heterogeneous materials provides a fresh perspective for the development of Mg alloys with both high strength and *** article provided a fundamental overview of heterostructured materials and systematically reviewed the recent research progress in the design of Mg alloys with strength-ductility balance based on heterostructure *** review encompassed various aspects,including preparation methods,formation mechanisms of diverse heterostructures,and mechanical properties,both within domestic and international *** this basis,the article discussed the challenges encountered in the design and fabrication of heterostructured Mg alloys,as well as the urgent issues that require attention and resolution in the future.

关键词： Mg alloys Heterogeneous structure Processing techniques Strength and ductility Hetero-deformation induced stress Strain gradient

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