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Chinese Journal of Polymer Science 2014年第8期32卷 1052-1059页

作者： Xiao-juan Li Lu Chen Wei Huang Xiang Li chao-liang zhang 刘习奎 College of Polymer Science and Engineering Sichuan University State Key Laboratory of Oral Diseases West China Hospital of Stomatology Sichuan University

A green approach to the synthesis and morphological control of high performance polyimides and their nanohybrid shish-kebabs in glycerol through reaction-induced crystallization of nylon-salt-type monomers was reported. Crystalline polyimide nanoplates can be observed by direct polycondensation of pyromellitic acid with various kinds of aliphatic or aromatic diamines. With the existence of carbon nanotuhes, the polyimides can be successfully decorated on the surface of CNTs through a reaction-induced hetero-epitaxial crystallization process, and resulted in novel polyimide/CNT nanohybrid shish-kebabs （NHSKs） structures. The morphologies of the NHSKs can be fine-tuned through changing the concentration of monomers or the reaction temperature, especially through the introduction of dynamic imine chemistry, the formation process of NHSKs can be attributed to a soft epitaxy mechanism. Thus a green approach for the synthesis of high performance polyimides and their CNT based nanohybrid structures was explored, which should be of great value for their applications in high performance reinforced nanocomposites.

关键词： Polyimides Reaction-induced crystallization Nanohybrid shish-kebabs Green synthesis.

Annealing Induced Microstructure and Mechanical Property Changes of Impact Resistant Polypropylene Copolymer

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Chinese Journal of Polymer Science 2015年第9期33卷 1211-1211,1212-1224页

作者： Jing-wei Chen Jian Dai Jing-hui Yang Nan zhang Ting Huang 王勇 chao-liang zhang Key Laboratory of Advanced Technologies of Materials (Ministry of Education) School of Materials Science & Engineering Southwest Jiaotong University State Key Laboratory of Oral Diseases Sichuan University

The effects of annealing on microstructure and mechanical properties of an impact resistant polypropylene copolymer （IPC） were investigated. Different annealing temperatures ranging from 80 ℃ to 160 ℃ were selected. The phase reorganization of IPC during annealing process was studied through morphological characterization technologies, including scanning electron microscopy （SEM） and transmission electron microscopy （TEM）. The crystalline structure changes in the IPC sample, including the iPP matrix and PE component, were investigated using wide angle X-ray diffraction （WAXD） and differential scanning calorimetry （DSC）. Dynamic mechanical analysis （DMA） was used to analyze the relaxation extent of 1PC before and after annealing. The results showed that annealing induced phase reorganization in IPC and the degree of phase reorganization depended on annealing temperature. The annealed IPC samples exhibited largely increased crystallinity compared with the unannealed one. Intensified damping peak with increased molecular chain mobility was achieved for the annealed IPC samples. At an appropriate annealing tem. perature （140 ℃）, largely enhanced impact strength was achieved for the annealed IPC sample. The toughening mechanisms were analyzed based on the phase reorganization and relaxation behavior.

关键词： Impact resistant polypropylene copolymer Annealing Microstructure Mechanical properties.

Reversely Swellable Porphyrin-linked Microporous Polyimide Networks with Super-adsorption for Volatile Organic Compounds

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Chinese Journal of Polymer Science 2015年第8期33卷 1125-1132页

作者： Qi Wu Wei Huang Hai-jiang Wang Li-li Pan chao-liang zhang 刘习奎 College of Polymer Science and Engineering Sichuan University West China Hospital of Stomatology Sichuan University

A series of microporous polyimide networks with porphyrin units （Pr-MPIs） were facilely synthesized through a one-step solution polymerization process. Of particular interest is that Pr-MPI-1 containing distorted spirobisindane unit revealed the highest BET surface area （953 m^2/g）, total pore volume （0.75 cma/g）, and extreme hysteresis between the N2 adsorption and desorption isotherm. Further study revealed the prepared Pr-MPI-1 exhibited a synergistic structural effect on exceptional uptake of volatile organic compounds （VOCs） due to the high porosity and highly distorted spirobisindane structure enabled large interface and the swellability. This new approach would open up a facile approach toward the preparation of highly swellable high performance polymeric microporous materials, which are deeply wanted for environment-related applications such as VOCs adsorption and oil/water separation.

关键词： Microporous polyimides Spirobisindane Swellability Adsorption.

Size Distribution and Anisotropy of the Minor Phase Droplets in Polypropylene/Ethylene-Octene Copolymer Blends: Effects of Shear and Component Miscibility

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Chinese Journal of Polymer Science 2014年第1期32卷 9-20页

作者： Cheng-zhen Geng Yan-ling Zhu Guang-hui Yang 傅强 chao-liang zhang Ke Wang Tian-nan Zhou College of Polymer Science and Engineering State Key Laboratory of Polymer Materials Engineering Sichuan University State Key Laboratory of Oral Diseases West China Hospital of Stomatology Sichuan University

In this work, polypropylene （PP）/octene-ethylene copolymer （POE） blends were injection-molded using the so- called dynamic packing injection technique, which imposed oscillatory shear on the gradually cooling melt during the packing solidification stage. In this way, the effect of shear on the size distribution and anisotropy of the minor phase droplets could be investigated. Besides, by using two kinds of POE with different octene contents, the effect of component miscibility was also studied. The results show that the droplet size is mainly determined by composition and miscibility, and droplet anisotropy is mainly determined by droplet size and shear. Most importantly, under the same processing condition, droplet anisotropy increases with droplet size, and there seems a linear fit between them, disregarding the miscibility factor. These results may provide guidance for preparing polymer blends with desired properties by tailoring their phase morphologies.

关键词： Shear Miscibility Size distribution Anisotropy Phase morphology.

Functionalized graphene oxide nanosheets with unique three-inone properties for efficient and tunable antibacterial applications

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Nano Research 2021年第1期14卷 185-190页

作者： Bo-Yao Lu Guan-Yin Zhu Chen-Hao Yu Ge-Yun Chen chao-liang zhang Xin Zeng Qian-Ming Chen Qiang Peng State Key Laboratory of Oral Diseases National Clinical Research Center for Oral DiseasesWest China Hospital of StomatologySichuan UntiversityChengdu 610041China

Developing antibiotics-independent antibacterial agents is of great importance since antibiotic therapy faces great challenges from drug *** oxide(GO)is a promising agent due to its natural antibacterial mechanisms,such as sharp edgemediated cutting ***,the antibacterial activity of GO is limited by its negative charge and low photothermal ***,the amino-functionalized GO nanosheets(AGO)with unique three-in-one properties were *** essential properties(positive charge,strong photothermal effect,and natural cutting effect)were integrated into *** positive charge(30 mV)rendered AGO a strong interaction force with model pathogen Streptococcus mutans(330 nN).The natural cutting effect of 100 ng·mL^(-1)AGO caused 27%loss of bacterial viability after incubation for 30 *** importantly,upon the near-infrared irradiation for just 5 min,the three-in-one properties of AGO caused 98%viability *** conclusion,the short irradiation period and the tunable antibacterial activity confer the three-in-one AGO a great potential for clinical use.

关键词： nanoparticles nanomaterials carbon nano-bio interaction dental caries antimicrobial

Enhancing CO2 cycloaddition through ligand functionalization:A case study of UiO-66 metal-organic frameworks

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A data-driven approach to RUL prediction of tools

结构化学 2024年第2期43卷 9-12页

作者： Ruowen liang chao zhang Guiyang Yan Fujian Province Key Laboratory of Featured Biochemical and Chemical Materials Ningde Normal UniversityNingde352100PR China State Key Laboratory of Photocatalysis on Energy and Environment Fuzhou University Fuzhou350002PR China State Key Laboratory of Photocatalysis on Energy and Environment Fuzhou University Fuzhou350002PR China

The synthesis of cyclic carbonates from CO2 and epoxides offers a remarkable 100％atomic *** literature describes the CO2 cycloaddition mechanism predominantly as an"epoxide activation"pathway[1].This process can be effectively facilitated by heterogeneous catalysts possessing Lewis acidity,potentially optimising the capture and activation of the epoxide via metal-oxygen ***-organic frameworks(MOFs)have recently garnered attention as new catalysts,credited to their structural adaptability and multifunctional ***,MOFs with exposed metal sites function as Lewis acid sites,thus enhancing the cycloaddition *** numerous researchers emphasize the pivotal role of epoxide activation in the CO2 cycloaddition process,the challenge of activating inherently stable CO2 molecules often remains *** CO2 activation can potentially reduce the energy barriers of the reaction,thereby enhancing the overall *** prior studies on MOFs'catalytic activities for CO2 cycloaddition primarily emphasise their Lewis acidity sites[2,3],with scant attention to the syn-ergistic effects between the Lewis acid and base sites.

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Advances in Manufacturing 2024年第1期12卷 6-18页

作者： Wei Li liang-Chi zhang Chu-Han Wu Yan Wang Zhen-Xiang Cui chao Niu Department of Mechanical Engineering University College LondonLondonWC1E 7JEUK Shenzhen Key Laboratory of Cross-Scale Manufacturing Mechanics Southern University of Science and TechnologyShenzhen518055GuangdongPeople’s Republic of China SUSTech Institute for Manufacturing Innovation Southern University of Science and TechnologyShenzhen518055GuangdongPeople’s Republic of China Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhen518055GuangdongPeople’s Republic of China School of Mechanical and Manufacturing Engineering The University of New South WalesKensingtonNSW2052Australia Baoshan Iron&Steel Co. Ltd.Shanghai200941People’s Republic of China

An effective and reliable prediction of the remaining useful life(RUL)of a tool is important to a metal forming process because it can significantly reduce unexpected maintenance,avoid machine shutdowns and increase system *** study proposes a new data-driven approach to the RUL prediction for metal forming processes under multiple contact sliding *** data-driven approach took advantage of bidirectional long short-term memory(BLSTM)and convolutional neural networks(CNN).A pre-trained lightweight CNN-based network,WearNet,was re-trained to classify the wear states of workpiece surfaces with a high accuracy,then the classification results were passed into a BLSTM-based regression model as inputs for RUL *** experimental results demonstrated that this approach was able to predict the RUL values with a small error(below 5%)and a low root mean square error(RMSE)(around 1.5),which was more superior and robust than the other state-of-the-art methods.

关键词： Remaining useful life(RUL) Bidirectional long short-term memory(BLSTM) Data-driven approach Metal forming

Damaged apple detection with a hybrid YOLOv3 algorithm

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Information Processing in Agriculture 2024年第2期11卷 163-171页

作者： Meng zhang Huazhao liang Zhongju Wang Long Wang chao Huang Xiong Luo Schoolof Computer and Communication Engineering University of Science and Technoogy BejingBejing 1083China lShunde Innovation SchoolUniversity of Science and Technology BeijingFoshan 528399China

This paper proposes an improved You Only Look Once(YOLOv3)algorithm for automatically detecting damaged apples to promote the automation of the fruit processing *** the proposed method,a clustering method based on Rao-1 algorithm is introduced to optimize anchor box *** clustering method uses the intersection over the union to form the objective function and the most representative anchor boxes are generated for normal and damaged apple *** verify the feasibility and effectiveness of the proposed method,real apple images collected from the Internet are *** with the generic YOLOv3 and Fast Region-based Convolutional Neural Network(Fast R-CNN)algorithms,the proposed method yields the highest mean average precision value for the test ***,it is practical to apply the proposed method for intelligent apple detection and classification tasks.

关键词： Rao algorithm Apple detection Clustering Smart agriculture

Deformation of Rigid Conjugate Self-dual Galois Representations

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Acta Mathematica Sinica,English Series 2024年第7期40卷 1599-1644页

作者： Yi Feng LIU Yi chao TIAN liang XIAO Wei zhang Xin Wen ZHU Institute for Advanced Study in Mathematics Zhejiang UniversityHangzhou 310058P.R.China Morningside Center of Mathematics AMSSChinese Academy of SciencesBeijing 100190P.R.China New Cornerstone Lab Beijing International Center for Mathematical ResearchPeking Ui Beijing 100871P.R.China Department of Mathematics Massachusetts Institute of TechnologyCambridge MA 02139United States Department of Mathematics Stanford UniversityStanfordCA 94305United States

In this article,we study deformations of conjugate self-dual Galois *** study is ***,we prove an R=T type theorem for a conjugate self-dual Galois representation with coefficients in a finite field,satisfying a certain property called ***,we study the rigidity property for the family of residue Galois representations attached to a symmetric power of an elliptic curve,as well as to a regular algebraic conjugate self-dual cuspidal representation.

关键词： Galois deformation rigid conjugate self-dual Galois representations

Optimizing magnetoelastic properties by machine learning and high-throughput micromagnetic simulation

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Rare Metals 2024年第5期43卷 2251-2262页

作者： Jian-Hu Gong Zheng-Ming zhang Cheng-liang zhang Peng-Qiang Hu chao Zhou Dun-Hui Wang Sen Yang Division of Microelectronic Materials and Devices Hangzhou Dianzi UniversityHangzhou 310018China School of Physics MOEKey Laboratory forNonequilibrium Synthesis and Modulation of Condensed Matter and State Key Laboratory for Mechanical Behavior of MaterialsXi'an Jiaotong UniversityXi'an 710049China National Laboratory of Solid State Microstructures Nanjing UniversityNanjing210093China

Magnetoelastic couplings in giant magnetostrictive materials(GMMs)attract significant interests due to their extensive applications in the fields of spintronics and energy harvesting *** the role of the selection of materials and the response to external fields is essential for attaining desired functionality of a ***,machine learning(ML)models are conducted to predict saturation magnetostrictions(λ_(s))in RFe_(2)-type(R=rare earth)GMMs with different *** to ML-predicted composition–λsrelations,it is discovered that the values ofλshigher than1100×10^(-6)are almost situated in the composition space surrounded by 0.26≤x≤0.60 and 1.90≤y≤2.00 for the ternary compounds of Tb_(x)Dy_(1-x)Fe_(y).Assisted by ML predictions,the compositions are further narrowed down to the space surrounded by 0.26≤x≤0.32 and 1.92≤y≤1.97 for the excellent piezomagnetic(PM)performance in the Tb_(x)Dy_(1-x)Fe_(y)based PM device through our developed high-throughput(HTP)micromagnetic simulation(MMS)***,high sensitivities up to10.22-13.61 m T·MPa^(-1)are observed in the optimized range within which the available experimental data fall *** work not only provides valuable insights toward understanding the mechanism of magnetoelastic couplings,but also paves the way for designing and optimizing highperformance magnetostrictive materials and PM sensing devices.

关键词： Magnetostriction Piezomagnetic effect Machine learning Micromagnetic simulation