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Data-driven casting defect prediction model for sand casting based on random forest classification algorithm

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China Foundry 2024年第2期21卷 137-146页

作者： Bang Guan Dong-hong Wang Da Shu Shou-qin zhu Xiao-yuan Ji bao-de Sun Shanghai Key Lab of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240China Hefei Casting and Forging Factory of Anhui Heli Co. LtdHefei 230000China State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China

The complex sand-casting process combined with the interactions between process parameters makes it difficult to control the casting quality,resulting in a high scrap rate.A strategy based on a data-driven model was proposed to reduce casting defects and improve production efficiency,which includes the random forest(RF)classification model,the feature importance analysis,and the process parameters optimization with Monte Carlo *** collected data includes four types of defects and corresponding process parameters were used to construct the RF *** results show a recall rate above 90% for all *** Gini Index was used to assess the importance of the process parameters in the formation of various defects in the RF ***,the classification model was applied to different production conditions for quality *** the case of process parameters optimization for gas porosity defects,this model serves as an experimental process in the Monte Carlo method to estimate a better temperature *** prediction model,when applied to the factory,greatly improved the efficiency of defect *** show that the scrap rate decreased from 10.16% to 6.68%.

关键词： sand casting process data-driven method classification model quality prediction feature importance

Designing metal sulfide-based cathodes and separators for suppressing polysulfide shuttling in lithium-sulfur batteries

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Nano Research 2024年第4期17卷 2574-2591页

作者： Guoyin zhu Qingzhu Wu Xianghua Zhang Yuwen bao Xuan Zhang zhuoyao Shi Yizhou Zhang Lianbo Ma Institute of Advanced Materials and Flexible Electronics(IAMFE) School of Chemistry and Materials ScienceNanjing University of Information Science&TechnologyNanjing 210044China School of Materials Science and Engineering Anhui University of TechnologyMaanshan 243002China School of Mechanical Engineering Jiangsu University of TechnologyChangzhou 213001China

Lithium-sulfur(Li-S)batteries,known for their high energy density,are attracting extensive research interest as a promising next-generation energy storage ***,their widespread use has been hampered by certain issues,including the dissolution and migration of polysulfides,along with sluggish redox *** sulfides present a promising solution to these obstacles regarding their high electrical conductivity,strong chemical adsorption with polysulfides,and remarkable electrocatalytic capabilities for polysulfide *** this review,the recent progress on the utilization of metal sulfide for suppressing polysulfide shuttling in Li-S batteries is systematically summarized,with a special focus on sulfur hosts and functional *** critical roles of metal sulfides in realizing high-performing Li-S batteries have been comprehensively discussed by correlating the materials’structure and electrochemical ***,the remaining issues/challenges and future perspectives are *** offering a detailed understanding of the crucial roles of metal sulfides,this review dedicates to contributing valuable knowledge for the pursuit of high-efficiency Li-S batteries based on metal sulfides.

关键词： lithium-sulfur batteries metal sulfides polysulfide shuttling sulfur hosts separator coating layers

Structure,bioavailability and physicochemical properties of icariin-soymilk nanoparticle

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Food Science and Human Wellness 2024年第2期13卷 972-981页

作者： Jinping Wang Lingrong Wen Yueming Jiang Hong zhu Weizheng Sun Guangyi Dai bao Yang Guangdong Provincial Key Laboratory of Applied Botany Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic ImprovementSouth China Botanical GardenChinese Academy of SciencesGuangzhou 510650China South China National Botanical Garden Guangzhou 510650China College of Food Science and Engineering Jilin Agricultural UniversityChangchun 130118China University of Chinese Academy of Sciences Beijing 100049China School of Food Sciences and Engineering South China University of TechnologyGuangzhou 510640China

Soymilk is a natural ***,the performance of flavonoid-soymilk nano-complex remains *** this work,icariin-soymilk nano-complexes(ISNCs)were successfully fabricated and *** effects of high-pressure homogenization(HPH)treatment on structure and physicochemical properties of soymilk and nano-complexes were *** treatment could significantly improve the surface hydrophobicity and interfacial activity of *** soymilk with HPH treatment could significantly improve the water solubility(20 folds),thermal stability and bioavailability of *** highest encapsulation efficiency(93.28%),loading capacity(39.09μg/mg),ζ-potentia(absolute value,31.20 mV)and bioavailability(72.14%)were observed in HSI-200(200 bar of homogenization pressure).While HSI-500(500 bar of homogenization pressure)showed the smallest particle size(183.73 nm).ISNCs showed a rougher surface and an irregular lamellar structure with large amount of fine particles by using Cryo-SEM,suggesting that icariin was encapsulated in *** data supplied a novel strategy to improve the performance of icariin in functional foods.

关键词： Encapsulation efficiency Flavonoid High pressure homogenization Loading capacity Nano-complex

Petroleum pitch derived hard carbon via NaCl-template as anode materials with high rate performance for sodium ion battery

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Frontiers of Chemical Science and Engineering 2024年第7期18卷 1-10页

作者： baoyu Wu Hao Sun Xiaoxue Li Yinyi Gao Tianzeng bao Hongbin Wu Kai zhu Dianxue Cao Key Laboratory of Superlight Materials and Surface Technology of Ministry of Education College of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China Hunan Hongshan New Energy Technology Co. LtdYiyang 413000China

Sodium-ion batteries(SIBs)have garnered significant interest in energy storage due to their similar working mechanism to lithium ion batteries and abundant reserves of sodium *** facile synthesis of a carbon-based anode materials with capable electrochemical performance is key to promoting the practical application of *** this work,a combination of petroleum pitch and recyclable sodium chloride is selected as the carbon source and template to obtain hard carbon(HC)anode for *** times and temperatures are optimized by assessing the sodium ion storage behavior of different HC *** optimized HC exhibits a remarkable capacity of over 430 mAh·g^(-1) after undergoing full activation through 500 cycles at a density of current of 0.1 A·g^(-1).Furthermore,it demonstrates an initial discharge capacity of 276 mAh·g^(-1) at a density of current of 0.5 A·g^(-1).Meanwhile,the optimized HC shows a good capacity retention(170 mAh·g^(-1) after 750 cycles)and a remarkable rate ability(166 mAh·g^(-1) at 2 A·g^(-1)).The enhanced capacity is attributed to the suitable degree of graphitization and surface area,which improve the sodium ion transport and storage.

关键词： petroleum pitch hard carbon sodium-ion batteries high rate recyclable template

Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology

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Journal of Electronic Science and Technology 2024年第2期22卷 16-23页

作者： Cheng-Wei Zhang Zhi-Qin Zhao Wei Yang Li-Lai Zhou hai-Yu zhu Southwest China Institute of Electronic Technology Chengdu610036China School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Tencent Company Shenzhen518054China

Aiming to solve the bottleneck problem of electromagnetic scattering simulation in the scenes of extremely large-scale seas and ships,a high-frequency method by using graphics processing unit(GPU)parallel acceleration technique is *** the implementation of different electromagnetic methods of physical optics(PO),shooting and bouncing ray(SBR),and physical theory of diffraction(PTD),a parallel computing scheme based on the CPU-GPU parallel computing scheme is realized to balance computing ***,a multi-GPU framework is further proposed to solve the computational difficulty caused by the massive number of ray tubes in the ray tracing *** using the established simulation platform,signals of ships at different seas are simulated and their images are achieved as *** is shown that the higher sea states degrade the averaged peak signal-to-noise ratio(PSNR)of radar image.

关键词： Multi graphics processing unit Radar imaging Sea-ship Shooting and bouncing rays

High performance 2T0C DRAM cells based on atomic-layer-deposited InAlZnO FETs

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Science China(Information Sciences) 2024年第9期67卷 344-345页

作者： Wen XIONG Binbin LUO Wei MENG bao zhu Xiaohan WU Shi-Jin DING School of Microelectronics Fudan University

Recently, the oxide semiconductor-based 2T0C dynamic random-access memory(DRAM) has shown great potential in monolithic three-dimensional(M3D)-integrated memory,owing to some unique advantages of oxide semiconductors,such as high electron mobility, wide band gap, and compatibility with back-end-of-line(BEOL) processes [1, 2].

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Study on the optimal incident proton energy of ^(7)Li(p,n)^(7)Be neutron source for boron neutron capture therapy

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Nuclear Science and Techniques 2024年第3期35卷 170-180页

作者： Yi-Nan zhu Zuo-Kang Lin hai-Yan Yu Ye Dai Zhi-Min Dai Xiao-Han Yu Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Science Beijing 100049China

Boron neutron capture therapy(BNCT)is recognized as a precise binary targeted radiotherapy technique that effectively eliminates tumors through the^(10)B(n,α)^(7)Li nuclear *** various neutron sources,accelerator-based sources have emerged as particularly promising for BNCT ***^(7)Li(p,n)^(7)Be reaction is highly regarded as a potential neutron source for BNCT,owing to its low threshold energy for the reaction,significant neutron yield,appropriate average neutron energy,and additional *** study utilized Monte Carlo simulations to model the physical interactions within a lithium target subjected to proton bombardment,including neutron moderation by an MgF_(2)moderator and subsequent BNCT dose analysis using a Snyder head *** study focused on calculating the yields of epithermal neutrons for various incident proton energies,finding an optimal energy at 2.7 ***,the Snyder head phantom was employed in dose simulations to validate the effectiveness of this specific incident energy when utilizing a^(7)Li(p,n)^(7)Be neutron source for BNCT purposes.

关键词： Boron neutron capture therapy ^(7)Li(p,n)7Be neutron source Incident proton energy Monte Carlo simulation

Healing the structural defects of spinel MnFe_(2)O_(4) to enhance the electrocatalytic activity for oxygen reduction reaction

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Journal of Energy Chemistry 2024年第10期97卷 12-19,I0001页

作者： Manting Tang Yue Zou Zhiyong Jiang Peiyu Ma Zhiyou Zhou Xiaodi zhu Jun bao Shi-Gang Sun National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230026AnhuiChina State Key Laboratory of Physical Chemistry of Solid Surfaces Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 36005 FujianChina iChEM(Collaborative Innovation Center of Chemistry for Energy Materials) University of Science and Technology of ChinaHefei 230026AnhuiChina

Spinel metal oxides containing Mn,Co,or Fe(AB_(2)O_(4),A/B=Mn/Fe/Co)are one of the most promising nonPt electrocatalysts for oxygen reduction reaction(ORR)in alkaline ***,the low conductivity of metal oxides and the poor intrinsic activities of transition metal sites lead to unsatisfactory ORR *** this study,eutectic molten salt(EMS)treatment is employed to reconstruct the atomic arrangement of MnFe_(2)O_(4)electrocatalyst as a prototype for enhancing ORR *** analyses by using XAFS,soft XAS,XPS,and electrochemical methods reveal that the EMS treatment reduces the oxygen vacancies and spinel inverse in MnFe_(2)O_(4)effectively,which improves the electric conductivity and increases the population of more catalytically active Mn^(2+)sites with tetrahedral ***,the enhanced Mn-O interaction after EMS treatment is conducive to the adsorption and activation of O_(2),which promotes the first electron transfer step(generally considered as the ratedetermining step)of the ORR *** a result,the EMS treated MnFe_(2)O_(4)catalyst delivers a positive shift of 40 mV in the ORR half-wave potential and a two-fold enhanced mass/specific *** work provides a convenient approach to manipulate the atomic architecture and local electronic structure of spinel oxides as ORR electrocatalysts and a comprehensive understanding of the structureperformance relationship from the molecular/atomic scale.

关键词： Spinel MnFe_(2)O_(4) Oxygen reduction reaction Spinel inverse Oxygen vacancies Eutectic molten salt

Synthesis of carbon dots with predictable photoluminescence by the aid of machine learning

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Nano Research 2024年第3期17卷 1984-1989页

作者： Chenyu Xing Gaoyu Chen Xia zhu Jiakun An Jianchun bao Xuan Wang Xiuqing Zhou Xiuli Du Xiangxing Xu Jiangsu Key Laboratory of Biofunctional Materials Jiangsu Key Laboratory of New Power BatteriesSchool of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023China School of Mathematical Sciences Nanjing Normal UniversityNanjing 210023China State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210093China

Carbon dots(CDs)have wide application potentials in optoelectronic devices,biology,medicine,chemical sensors,and quantum techniques due to their excellent fluorescent ***,synthesis of CDs with controllable spectrum is challenging because of the diversity of the CD components and *** this report,machine learning(ML)algorithms were applied to help the synthesis of CDs with predictable photoluminescence(PL)under the excitation wavelengths of 365 and 532 *** combination of precursors was used as the *** PL peaks of the strongest intensity(λ_(s))and the longest wavelength(λ_(l))were used as target *** six investigated ML models,the random forest(RF)model showed outstanding)performance in the prediction of the PL peaks.

关键词： carbon dots(CDs) synthesis photoluminescence(PL) machine learning(ML) PL prediction