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The Effect of Ionic Liquids on the CaCO_3 Crystal Growth

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Chinese Chemical Letters 2004年第6期15卷 707-710页

作者： ZhiGuoHU ShiLiSONG JianJiWANG linyang CollegeofChemistryandEnvironmentalScience He＇nanNormalUniversityXinxiang453002 CollegeofChemistryandEnvironmentalScience He＇nanNormalUniversityXinxiang453002

In this paper, the effect of ionic liquids on the CaCO3 crystal growth has been studied for the first time. The obtained CaCO3 crystals were charactered by the X-ray diffraction and scanning electron micrographs. The results showed that the control ability of ionic liquids for CaCO3 crystals growth was dependent on the counter anion very much.

关键词： Ionic liquids CaCO3 crystal growth 1-butyl-3-methylimidazolium salt.

MICRON CORE-SHELL PARTICLES PREPARED BY GRAFTING POLYMERIZATION OF METHYL METHACRYLATE FROM NARROW DISPERSE SURFACE OF CHLOROMETHYLATED POLYDIVINYLBENZENE VIA ATRP

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Chinese Journal of Polymer Science 2005年第3期23卷 235-242页

作者： Yu-zengZhao Xin-linyang 黄文强 StateKeyLaboratoryofFunctionalPolymerMaterialsforAdsorptionandSeparation InstituteofPolymerChemistryNankaiUniversityTianjin300071China

Grafting of poly(methyl methacrylate)from narrow disperse polymer particles by surface-initiated atom transferradical polymerization(ATRP)was ***(PDVB)particles were prepared by dispersionpolymerization with poly(N-vinyl pyrrolidone)(PVP)as the *** PDVB was used as initiating coresites for subsequent ATRP of methyl methacrylate with CuBr/bpy as catalyst *** was found that poly(methylmethacrylate)was grafted not only from the particle surfaces but also from within a thin shell layer,leading to particles sizeincreases from 2.38-3.00 μm with a core-shell structure *** grafted core-shell particles were characterized withFTIR,SEM,DSC.

关键词： Core-shell microspheres Atom transfer radical polymerization(ATRP) Graft polymerization.

NARROW-DISPERSED CROSSLINKED CORE-SHELL POLYMER MICROSPHERES PREPARED BY SURFACE-INITIATED ATOM TRANSFER RADICAL POLYMERIZATION

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Chinese Journal of Polymer Science 2005年第3期23卷 293-299页

作者： Yu-zengZhao Xin-linyang FengBai 黄文强 StateKeyLaboratoryofFunctionalPolymerMaterialsforAdsorptionandSeparation InstituteofPolymerChemistryNankaiUniversityTianjin300071China

Grafting of polystyrene with narrowly dispersed polymer microspheres through surface-initiated atom transferradical polymerization(ATRP)was ***(PDVB)microspheres were prepared by dispersionpolymerization with poly(N-vinyl pyrrolidone)(PVP)as *** surfaces of PDVB microspheres werechloromethylated by chloromethyl methyl ether in the presence of zinc chloride as catalyst to form chloromethylbenzeneinitiating core sites for subsequent ATRP grafting of styrene using CuCl/bpy as catalytic *** was found to begrafted not only from the particle surfaces but also from within a thin shell layer,resulting in the formation of particles sizeincreased from 2.38-2.58 μm,which can further grow to 2.93 μm during secondary grafting polymerization of *** that grafting polymerization proceeds through a typical ATRP procedure with living *** of the preparedmicrospheres have narrow particle size distribution with coefficient of variation around 10%.

关键词： Atom transfer radical polymerization(ATRP) Core-shell polymers Grafting polymerization Surface-initiated polymerization.

Generalization enhancement of artificial neural network for turbulence closure by feature selection

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Advances in Aerodynamics 2022年第1期4卷 1-24页

作者： linyang Zhu Weiwei Zhang Guohua Tu Northwestern Polytechnical University Xi’an710072China China Aerodynamics Research and Development Center Mianyang621000China

Feature selection targets for selecting relevant and useful features,and is a vital challenge in turbulence modeling by machine learning *** this paper,a new posterior feature selection method based on validation dataset is proposed,which is an efficient and universal method for complex systems including *** from the priori feature importance ranking of the filter method and the exhaustive search for feature subset of the wrapper method,the proposed method ranks the features according to the model performance on the validation dataset,and generates the feature subsets in the order of feature *** the features from the proposed method,a black-box model is built by artificial neural network(ANN)to reproduce the behavior of Spalart-Allmaras(S-A)turbulence model for high Reynolds number(Re)airfoil flows in aeronautical *** results show that compared with the model without feature selection,the generalization ability of the model after feature selection is significantly *** some extent,it is also demonstrated that although the feature importance can be reflected by the model parameters during the training process,artificial feature selection is still very necessary.

关键词： Generalization Feature selection Artificial neural networks Turbulence model

PREPARATION OF MONODISPERSE CROSSLINKED POLYMER MICROSPHERES HAVING CHLOROMETHYL GROUP BY DISTILLATIONPRECIPITATION POLYMERIZATION

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Chinese Journal of Polymer Science 2005年第2期23卷 197-202页

作者： Shu-FengLi Xin-linyang Wen-QiangHuang StateKeyLaboratoryofFunctionalPolymerMaterialsforAdsorptionandSeparation InstituteofPolymerChemistryNankaiUniversityTianjin300071China

Monodisperse crosslinked poly(chloromethylstyrene-co-divinylbenzene)(poly(CMSt-co-DVB))microsphereswere prepared by distillation-precipitation copolymerization of chloromethylstyrene(CMSt)and divinylbenzene(DVB)inneat *** polymer particles had clean surfaces due to the absence of any added *** size of the particlesranges from 2.59 μm to 3.19 μm and with mono-dispersity around *** effects of monomer feed incopolymerization on the microsphere formation were *** polymer microspheres were characterized by SEM andchlorinity elemental analysis.

关键词： Chloromethylstyrene Divinylbenzene Distillation-precipitation polymerization Crosslinked Monodisperse Polymer microspheres Chlorinity.

Prediction of the coupled heat radiation and conduction parameters and boundary condition using the unscented Kalman filter

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Science China(Technological Sciences) 2020年第3期63卷 422-433页

作者： WEN Shuang QI Hong WANG YiFei REN YaTao WEI linyang RUAN LiMing School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory of Aerospace Thermophysics Ministry of Industry and Information TechnologyHarbin 150001China

The boundary emissivity, thermal conductivity, and boundary time-varying heat flux in the participating media are retrieved in this work. In the forward model, the coupled radiation-conduction heat transfer in the participating medium is resolved by the finite volume method combined with discrete ordinates method. The inverse model utilizes the temperature signals at the appropriate position of the medium as the known information and uses the unscented Kalman filter(UKF) as an optimization tool to reconstruct the boundary emissivity, thermal conductivity, and boundary time-varying heat flux. It is found that when the emissivity, thermal conductivity, and boundary time-varying heat flux are reconstructed simultaneously, only the temperature information of two locations is required. The influence of the measurement noise, sampling interval, absorption coefficient,process noise covariance, measurement noise covariance on the accuracy and stability of the retrieval results is investigated in detail. All the reconstruction results indicate that the UKF technique is effective and robust for estimating the photothermal parameters and boundary condition of the radiation-conduction heat transfer problems.

关键词： inverse heat transfer thermal conductivity boundary emissivity time-varying heat flux unscented Kalman filter participating media

Assembly language and assembler for deep learning accelerators

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High Technology Letters 2019年第4期25卷 386-394页

作者： Lan Huiying Wu linyang Han Dong Du Zidong Intelligent Processor Research Center Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190P.R.China University of Chinese Academy of Sciences Beijing 100049P.R.China Cambricon Technologies Corporation Limited Beijing 100191P.R.China

Deep learning accelerators(DLAs)have been proved to be efficient computational devices for processing deep learning *** DLA architectures are proposed and applied to different applications and ***,for most DLAs,their programming interfaces are either difficult to use or not efficient *** DLAs require programmers to directly write instructions,which is time-consuming and *** prevailing programming interface for DLAs is high-performance libraries and deep learning frameworks,which are easy to be used and very friendly to users,but their high abstraction level limits their control capacity over the hardware resources thus compromises the efficiency of the accelerator.A design of the programming interface is for *** various existing DLAs and their programming methods are analyzed and a methodology for designing programming interface for DLAs is proposed,which is a high-level assembly language(called DLA-AL),assembler and runtime for ***-AL is composed of a low-level assembly language and a set of high-level *** allows experienced experts to fully exploit the potential of DLAs and achieve near-optimal ***,by using DLA-AL,end-users who have little knowledge of the hardware are able to develop deep learning algorithms on DLAs spending minimal programming efforts.

关键词： deep learning deep learning accelerator(DLA) assembly language programming language

Catalytic conversion of asphaltenes to BTXN using metal-loaded modified HZSM-5

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Chinese Journal of Chemical Engineering 2022年第9期35卷 253-264页

作者： linyang Wang Qiang Wang Yongqi Liu Qiuxiang Yao Ming Sun Xiaoxun Ma School of Chemical Engineering Northwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utilization of Hydrocarbon ResourcesChemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyShaanxi Research Center of Engineering Technology for Clean Coal ConversionCollaborative Innovation Center for Development of Energy and Chemical Industry in NorthernXi’an 710069China School of Science Xijing UniversityXi’an 710123China

HZSM-5 zeolites with Si/Al ratios of 20,35,50 and 65 were prepared by the directing crystallization process of silicalite-1 *** influence of Si/Al ratios on the production of benzene,toluene,xylene and naphthalene(BTXN)originated from asphaltenes catalytic pyrolysis was explored by adopting Py-GC/*** Z5-50 zeolites were prepared by various metal ions(Ni^(2+),Mo^(6+),Fe^(3+),and Co^(2+))with different loading rates(3%(mass),5%(mass),7%(mass),and 9%(mass))and the physical and chemical properties of these zeolites were characterized by XRD,SEM,ICP-OES,XPS,NH_(3)-TPD,FTIR,Py-IR and N_(2)adsorption-desorption *** addition,they were employed to catalyze the conversion of asphaltenes pyrolysis production to BTXN using Py-GC/*** show that the highest relative content of aromatics has been obtained over HZSM-5 with Si/Al ratio of 50(Z5-50),reaching 61.87%.Besides,the loading of Ni,Mo,Fe,and Co on Z5-50 leads to an increase of acid strength and provides new active *** relative content of BTXN increases by 3.17%over 3Ni-Z5,which may be ascribed to that Ni promoted the conversion of polycyclic aromatic hydrocarbons(PAHs)to monocyclic aromatics due to the cracking of aliphatic side chains of PAHs and the decrease of phenolic activation *** under the catalysis of 5Mo-Z5,the relative content of aromatics and BTXN augmented by 5.75%and 4.02%,*** addition,the highest relative content of aromatics reaches 70.09%when the loading rate of Fe was 7%(mass),and the relative content of BTXN increases from 25.87%to 29.42%.The results demonstrate that the active sites provided by different metal species expressed diverse effects on *** the Bronsted/Lewis acid ratios of HZSM-5 modified by metal decreased,the acid strength and the relative content of BTXN both increased,which illustrated that there is a synergistic catalysis with the Bronsted acid sites and Lewis acid sites provided by metal *** general,the performance of

关键词： Coal tar Asphaltenes HZSM-5 Pyrolysis Metal-modification BTXN

Gallium bismuth halide GaBi-X2 （X = I, Br, CI） monolayers with distorted hexagonal framework： Novel room- temperature quantum spin Hall insulators

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Nano Research 2017年第6期10卷 2168-2180页

作者： linyang Li Ortwin Leenaerts Xiangru Kong Xin Chen Mingwen Zhao Francois M. Peeters Department of Physics University of Antwerp Groenenborgerlaan 171 B-2020 Antwerp Belgium International Center for Quantum Materials Peking University Beijing 100871 China School of Physics and State Key Laboratory of Crystal Materials Shandong University Jinan 250700 China

Quantum spin Hall （QSH） insulators with a large topologically nontrivial bulk gap are crucial for future applications of the QSH effect. Among these, group III-V monolayers and their halides, which have a chair structure （regular hexagonal framework）, have been widely studied. Using first-principles calculations, we formulate a new structure model for the functionalized group III-V monolayers, which consist of rectangular GaBi-X2 （X = I, Br, C1） monolayers with a distorted hexagonal framework （DHF）. These structures have a far lower energy than the GaBi-X2 monolayers with a chair structure. Remarkably, the DHF GaBi-X2 monolayers are all QSH insulators, which exhibit sizeable nontrivial band gaps ranging from 0.17 to 0.39 eV. The band gaps can be widely tuned by applying different spin-orbit coupling strengths, resulting in a distorted Dirac cone.

关键词： quantum spin Hall (QSH)insulators,first-principles calculations,GaBi-X2 (X = L Br Cl)monolayers,distorted hexagonal framework,distorted Dirac cone