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Cerium refinement of grains and primary carbides during solidification of Cr_(4)Mo_(4)V bearing steel

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Journal of Rare Earths 2024年第4期42卷 783-792页

作者： Weifeng Liu Jianqiang Wang Mingyue Sun Bin Xu Jiahao Yao Qunbo Fan Dianzhong Li Chongqing innovation center Beijing Institute of TechnologyChongqing401135China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

The effect of cerium(Ce)on the solidification microstructure of Cr_(4)Mo_(4)V bearing steel was investigated via a combined experimental and theoretical *** a trace amount(0.056 wt%)of Ce addition,the coarse columnar grains in as-cast microstructure transform into equiaxed ones,and the average diameter is reduced from 56 to 27μ*** network-like and bulky primary MC and M2C carbides at the interdendritic regions become disconnected and refined,and their volume percentage decreases from4.15 vol%to 2.1 vol%.Ce-inclusions acting as heterogeneous nucleation agents of prior-austenite grains and Ce atoms segregating at grain boundaries,both contribute to the refinement of *** calculations reveal that primary carbides are precipitated afterγ-austenite forms near the end of the solidification *** modification of primary carbides in size and amount is mainly attributed to the isolated remaining melt separated by refinedγ-austenite grains in which the nucleation of carbides is promoted,while the growth is restrained owing to the less segregation of alloying elements.

关键词： Cr_(4)Mo_(4)V bearing steel Rare Earths Grains Primary carbides Refinement

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Cellulose sub-nanometric ribbons:A new generation of nanocellulose and platform for biomaterials

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Journal of Bioresources and Bioproducts 2024年第1期9卷 1-2页

作者： Shaomin Kang Yang Zhao Junlong Song Huining Xiao Jiangsu Co-innovation center for Efficient Processing and Utilization of Forest Resources and International innovation center for Forest Chemicals and Materials Nanjing Forestry UniversityNanjing 210037China Department of Chemical Engineering University of New BrunswickFredericton NB E3B 5A3Canada

With the tremendous progress of research in nanoscience,much attention has been paid to the bottom of the“nano world”:scales around one nanometer or even *** order to describe materials at this scale,a new concept c... 详细信息

关键词： biomaterials scales emerged

Defect engineering in transition-metal(Fe,Co,andNi)-based electrocatalysts for water splitting

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Carbon Energy 2024年第6期6卷 165-199页

作者： Kaili Wu Chaojie Lyu Jiarun Cheng Weifan Ding Jiwen Wu Qian Wang Woon-Ming Lau Jinlong Zheng Beijing Advanced innovation center for Materials Genome Engineering University of Science and Technology BeijingBeijingChina School of Chemistry and Chemical Engineering Linyi UniversityLinyiChina Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijingChina Shunde innovation School University of Science and Technology BeijingFoshanChina

Electrocatalytic water splitting seems to be an efficient strategy to deal with increasingly serious environmental problems and energy crises but still suffers from the lack of stable and efficient *** practical electrocatalysts by introducing defect engineering,such as hybrid structure,surface vacancies,functional modification,and structural distortions,is proven to be a dependable solution for fabricating electrocatalysts with high catalytic activities,robust stability,and good *** review is an overview of some relevant reports about the effects of defect engineering on the electrocatalytic water splitting performance of *** detail,the types of defects,the preparation and characterization methods,and catalytic performances of electrocatalysts are presented,emphasizing the effects of the introduced defects on the electronic structures of electrocatalysts and the optimization of the intermediates'adsorption energy throughout the ***,the existing challenges and personal perspectives of possible strategies for enhancing the catalytic performances of electrocatalysts are *** in-depth understanding of the effects of defect engineering on the catalytic performance of electrocatalysts will light the way to design high-efficiency electrocatalysts for water splitting and other possible applications.

关键词： defect engineering electrocatalytic water splitting element doping interfacial engineering vacancy

AI enhances drug discovery and development

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National Science Review 2024年第3期11卷 52-54页

作者： Fang Bai Shiliang Li Honglin Li Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology ShanghaiTech University Lingang Laboratory innovation center for AI and Drug Discovery East China Normal University

The advent of the third wave of artificial intelligence(AI) heralds a new era in drug discovery. AI-powered techniques can be characteristic of identifying features that are difficult for humans to interpret from big ...

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Ganoderma Lucidum Spore Oil enhances the effect of cyclophosphamide via inhibiting programmed death-1 and prolongs the survival of H22 tumor-bearing mice

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Journal of Traditional Chinese Medicine 2024年第4期44卷 652-659页

作者： JIANG Zhaojian CAI Hongfei YUAN Cheng CAO Lin XU Wendong HAN Yaming ZHANG Qin LI Jing WANG Qin LIU Juyan Guangzhou HanFang Pharmaceutical Company Limited National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug InnovationGuangdong Provincial Key Laboratory of Medicinal Lipids Zhongshan Medical College Sun Yat-sen University Guangzhou Pharmaceutical Holdings Limited National Engineering Research center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug innovation

OBJECTIVE: To investigate the effect of Ganoderma Lucidum Spore Oil(GLSO) on the tumor growth and survival of H22 tumor-bearing mice treated with cyclophosphamide(CTX), and explore the underlying ***: Allograft H22 hepatocellular carcinoma mouse model was applied to investigate the effect of GLSO on the tumor growth and survival of animals, and Kaplan-Meier survival analysis was used to analyze the life span. Plasma biochemical examination was used to determine the levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST), urea(UREA) and creatinine(CRE). Western blot analysis was performed to detect Programmed Death-1(PD-1), Programmed Death Ligand 1(PD-L1), Janus Kinase 2(JAK2),phosphorylated Signal Transducer and Activator of Transcription 3(p-STAT3), and Signal Transducer and Activator of Transcription 3(STAT3) expression. RESULTS: GLSO increased the anti-tumor effect of CTX and prolonged the survival of H22 tumor-bearing mice treated with CTX. Meanwhile, GLSO increased the thymus index and showed no obvious toxicity to liver functions of animals. GLSO also decreased the level of UREA in H22 tumor-bearing mice treated with CTX. Furthermore, GLSO could inhibit the expression of PD-1 in spleen, which was independent of JAK2 expression and STAT3 phosphorylation. However, GLSO did not affect the expression of PD-L1, JAK2, and p-STAT3 in tumor tissue. CONCLUSION: GLSO could strengthen the anti-tumor effect of CTX and prolong the life span of H22 tumorbearing mice, while the underlying mechanism might be relevant to the amelioration effect of thymus function and inhibition of PD-1 expression in spleen. Furthermore, these findings implied the promising role of GLSO in combination with CTX to extend the survival of patients in clinical chemotherapy of hepatocellular carcinoma.

关键词： Ganoderma Lucidum Spore Oil carcinoma, hepatocellular cyclophosphamide programmed cell death 1 receptor survival

Two-dimensional perovskite oxide high-κdielectric for high-performance phototransistors

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Science Bulletin 2024年第13期69卷 2001-2003页

作者： Zhongfan Liu center for Nanochemistry Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Technology innovation center of Graphene Metrology and Standardization for State Market Regulation Beijing Graphene InstituteBeijing 100095China

Field-effect transistors are essential components of modern ***,the continued scaling of electronic and optoelectronic devices is bringing silicon-based technologies close to their physical limits,causing issues such as short-channel effects[1].Two-dimensional(2D)semiconductors provide an attractive solution for transistors to extend Moore’s law because of their ultrathin thickness and immunity to short-channel effects[2].To fulfill the potential of 2D semiconductors,gate dielectrics need to be simultaneously engineered to build future 2D-material-based *** insulators with high dielectric constants(j)exhibit lower equivalent oxide thickness,which can ensure efficient gate control over channels and low gate leakage[3].Therefore,tremendous efforts have been made in searching for novel high-j dielectrics.

关键词： dielectric oxide dimensional

One memristor–one electrolyte-gated transistor-based high energy-efficient dropout neuronal units

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Chinese Physics B 2024年第6期33卷 569-573页

作者：李亚霖时凯璐朱一新方晓崔航源万青万昌锦 School of Electronic Science&Engineering and Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China Yongjiang Laboratory(Y-LAB) Ningbo 315202China

Artificial neural networks(ANN) have been extensively researched due to their significant energy-saving *** implementations of ANN with dropout function would be able to avoid the overfitting problem. This letter reports a dropout neuronal unit(1R1T-DNU) based on one memristor–one electrolyte-gated transistor with an ultralow energy consumption of 25 p J/spike. A dropout neural network is constructed based on such a device and has been verified by MNIST dataset, demonstrating high recognition accuracies(> 90%) within a large range of dropout probabilities up to40%. The running time can be reduced by increasing dropout probability without a significant loss in accuracy. Our results indicate the great potential of introducing such 1R1T-DNUs in full-hardware neural networks to enhance energy efficiency and to solve the overfitting problem.

关键词： dropout neuronal unit synaptic transistors memristor artificial neural network

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In-doping collaboratively controlling back interface and bulk defects to achieve efficient flexible CZTSSe solar cells

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Journal of Energy Chemistry 2024年第2期89卷 10-17,I0002页

作者： Quanzhen Sun Yifan Li Caixia Zhang Shunli Du Weihao Xie Jionghua Wu Qiao Zheng Hui Deng Shuying Cheng Institute of Micro-Nano Devices and Solar Cells College of Physics and Information EngineeringFuzhou UniversityFuzhou 350108FujianChina Fujian Science&Technology innovation Laboratory for Optoelectronic Information of China Fuzhou 350108FujianChina Jiangsu Collaborative innovation center of Photovoltaic Science and Engineering Changzhou 213164JiangsuChina

Focusing on the low open circuit voltage(V_(OC))and fill factor(FF)in flexible Cu_(2)ZnSn(S,Se)_(4)(CZTSSe)solar cells,indium(In)ions are introduced into the CZTSSe absorbers near Mo foils to modify the back interface and passivate deep level defects in CZTSSe bulk concurrently for improving the performance of flexible *** results show that In doping effectively inhibits the formation of secondary phase(Cu(S,Se)_(2))and *** studies demonstrate that the barrier height at the back interface is decreased and the deep level defects(Cu_(Sn)defects)in CZTSSe bulk are ***,the carrier concentration is increased and the V_(OC) deficit(V_(OC,def))is decreased significantly due to In ***,the flexible CZTSSe solar cell with 10.01%power conversion efficiency(PCE)has been *** synergistic strategy of interface modification and bulk defects passivation through In incorporation provides a new thought for the fabrication of efficient flexible kesterite-based solar cells.

关键词： Flexible solar cells Cu_(2)ZnSn(S,Se)_(4) Back interface Deep level defects Barrier height

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Machine Learning-Based Research on Tensile Strength of SiC-Reinforced Magnesium Matrix Composites via Stir Casting

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 453-466页

作者： Zhihong Zhu Wenhang Ning Xuanyang Niu Yuhong Zhao Beijing Advanced innovation center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering Collaborative Innovation Center of Ministry of Education and Shanxi Province for High-Performance Al/Mg Alloy MaterialsNorth University of ChinaTaiyuan 030051China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China

SiC is the most common reinforcement in magnesium matrix composites,and the tensile strength of SiC-reinforced magnesium matrix composites is closely related to the distribution of *** a uniform distribution of SiC requires fine control over the parameters of SiC and the processing and preparation ***,due to the numerous adjustable parameters,using traditional experimental methods requires a considerable amount of experimentation to obtain a uniformly distributed composite ***,this study adopts a machine learning approach to explore the tensile strength of SiC-reinforced magnesium matrix composites in the mechanical stirring casting *** analyzing the influence of SiC parameters and processing parameters on composite material performance,we have established an effective predictive ***,six different machine learning regression models have been developed to predict the tensile strength of SiC-reinforced magnesium matrix *** validation and comparison,our models demonstrate good accuracy and reliability in predicting the tensile strength of the composite *** research findings indicate that hot extrusion treatment,SiC content,and stirring time have a significant impact on the tensile strength.

关键词： Machine learning Stirring casting Magnesium matrix composite Tensile strength