检索结果-南通市图书馆

Acta Geologica Sinica(English Edition) 2007年第3期81卷 442-449页

作者： LI Wenbo HUANG zhilong QI Liang Laboratory of Orogenic Belts and Crustal Evolution Peking University Beijing 100871 Institute of Geochemistry Chinese Academy of Sciences Guiyang Guizhou 550002

REE abundances in sulfides from the Huize Zn-Pb ore field were determined with the ICPMS after preconcentration. The REE abundances in 26 sulfide samples （including pyrite, galena and sphalerite） are very low, with the ~REE ranging from 1.6×10^-9 to 166.8×10^-9. Their LREE/HREE ratios range from 7.6 to 98, showing LREE enrichment relatively. The JEu values are below 1, indicating that they were deposited from an Eu-depleted and reducing fluid-system. Similar to the ore-hosting carbonate strata, calcite separates from carbonate veinlets filling in the fractures or faults crosscutting the carbonate strata also show clear Eu-depletion. This indicates that the carbonate veinlets and their parent fluid was possibly sourced from the strata and inherited the REE geochemical features of the strata. Therefore, REE-geochemical characteristics of both the sulfides and calcites, which were deposited from an ore-forming hydrothermal system, are similar to those of carbonate strata, and strongly suggest that the ore metals were mainly sourced from carbonate strata.

关键词： Huize Zn-Pb ore field REE geochemistry sulfide fluid ore-forming metal

Unsupervised discovery of thin-film photovoltaic materials from unlabeled data

在线全文

学校读者我要写书评

暂无评论

npj Computational Materials 2021年第1期7卷 1144-1154页

作者： zhilong Wang Junfei Cai Qingxun Wang SiCheng Wu Jinjin Li National Key Laboratory of Science and Technology on Micro/Nano Fabrication Shanghai Jiao Tong UniversityShanghaiChina Department of Micro/Nano Electronics School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

Quaternary chalcogenide semiconductors(I_(2)-II-IV-X_(4))are key materials for thin-film photovoltaics(PVs)to alleviate the energy *** up of PVs requires the discovery of I_(2)-II-IV-X_(4) with good photoelectric properties;however,the structure search space is significantly large to explore *** scarcity of available data impedes even many machine learning(ML)***,we employ the unsupervised learning(UL)method to discover I2-II-IV-X4 that alleviates the challenge of data *** screen all the I_(2)-II-IV-X_(4) from the periodic table as the initial data and finally select eight candidates through *** predicted by ab initio calculations,they exhibit good optical conversion efficiency,strong optical responses,and good thermal stabilities at room *** typical case demonstrates the potential of UL in material discovery,which overcomes the limitation of data scarcity,and shortens the computational screening cycle of I_(2)-II-IV-X_(4) by~12.1 years,providing a research avenue for rapid material discovery.

关键词： film overcome finally

An ensemble learning classifier to discover arsenene catalysts with implanted heteroatoms for hydrogen evolution reaction

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2023年第3期78卷 268-276,I0008页

作者： An Chen Junfei Cai zhilong Wang Yanqiang Han Simin Ye Jinjin Li Key Laboratory for Thin Film and Microfabrication of Ministry of Education Department of Micro/Nano-electronicsShanghai Jiao Tong UniversityShanghai 200240China

Accurate regulation of two-dimensional materials has become an effective strategy to develop a wide range of catalytic *** introduction of heterogeneous components has a significant impact on the performance of materials,which makes it difficult to discover and understand the structure-property relationships at the atomic ***,we developed a novel and efficient ensemble learning classifier with synthetic minority oversampling technique(SMOTE) to discover all possible arsenene catalysts with implanted heteroatoms for hydrogen evolution reaction(heR).A total of 850 doped arsenenes were collected as a database and 140 modified arsenene materials with different doping atoms and doping sites were identified as promising candidate catalysts for heR,with a machine learning prediction accuracy of 81%.Based on the results of machine learning,we proposed 13 low-cost and easily synthesized two-dimensional Fe-doped arsenene catalytic materials that are expected to contribute to high-efficient *** proposed ensemble method achieved high prediction accuracy,but millions of times faster to predict Gibbs free energies and only required a small amount of *** study indicates that the presented ensemble learning classifier is capable of screening high-efficient catalysts,and can be further extended to predict other two-dimensional catalysts with delicate regulation.

关键词： Ensemble learning Implanted heteroatoms Hydrogen evolution reaction Synthetic minority oversampling technique

Vision for energy material design:A roadmap for integrated data-driven modeling

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2022年第8期31卷 56-62,I0003页

作者： zhilong Wang Yanqiang Han Junfei Cai An Chen Jinjin Li Key Laboratory of Thin Film and Microfabrication of Ministry of Education Department of Micro/Nano ElectronicsShanghai Jiao Tong UniversityShanghai 200240China

The application scope and future development directions of machine learning models(supervised learning, transfer learning, and unsupervised learning) that have driven energy material design are discussed.

关键词： Energy materials Material attributes Machine learning Data driven

Geological significance of nickeliferous minerals in the Fule Pb–Zn deposit, Yunnan Province, China

在线全文

学校读者我要写书评

暂无评论

Acta Geochimica 2018年第5期37卷 684-690页

作者： Zhenli Li Lin Ye Yusi Hu zhilong Huang State Key Laboratory of Ore Deposit Geochemistry Institute of Geochemistry Chinese Academy of SciencesGuiyang 550002 China University of Chinese Academy of Sciences Beijing 100049China

Abstract The Fule Pb-Zn deposit is located in the Sichuan-Yunnan-Guizhou Province, and it is an important and giant low temperature metallogenic domain in China. In our research area, the Pb-Zn deposits are mainly hosted in the Permian Yangxin Formation and are composed of dolostone and limestone. The distance between the ore bodies and the Permian Emeishan basalt ranged from 50 to 160 m. In this study, the nickel rich minerals, including vaesite, polydymite and millerite, were reported for the first time in the Fule deposit. These minerals occurred as xenomorphic mineral aggregate and were sporadically distributed in the sphalerite-galena-calcite vein, which is the main ore type in the deposit. Our study indicated that the paragenetic sequence of minerals in the Fule deposit is the following order： polydymite → vaesite → mil- lerite → sphalerite → galena → tetrahedrite （tennantite）. The geological occurrence characteristics of those nicke- liferous minerals suggested that the Permian Emeishan basalt is a possible barrier layer of Pb-Zn ore-forming fluid, and it is an important source for the Ni and part of the Cu in the deposit. The Sichuan-Yunnan-Guizhou Pb-Zn mineralization province is a world-class production base of Pb and Zn, in which the Permian Emeishan basalt and Pb- Zn deposits have uniformly spatial distribution, but the relationship of mineralization between them is still under debate. This report provides new evidence for understanding the relationship between Pb-Zn mineral- ization and Permian Emeishan basalt in the Sichuan- Yunnan-Guizhou Pb-Zn mineralization province.

关键词： Nickeliferous Permian Emeishan basalt Fule Pb-Zn deposit MVT deposit Barrier layer

Inverse design with deep generative models: next step in materials discovery

在线全文

学校读者我要写书评

暂无评论

National Science Review 2022年第8期9卷 15-17页

作者： Shuaihua Lu Qionghua Zhou Xinyu Chen zhilong Song Jinlan Wang School of Physics Southeast University

In the past few years, machine-learning(ML) techniques have been extensively applied in material discovery. Such techniques are applied to minimize the computationally or experimentally expensive costs of the research process, greatly reducing overall design time [1]. Typically,ML algorithms are combined with traditional methods like first-principle calculations to accelerate the optimization of compositions on the known crystal structures(elemental substitution) in the database or literature, or to search for new configurations of a fixed chemical composition.

关键词：

Facile Preparation of PVA-AA/TiO2 Composite Gel Particles and Their Tunable Photo-catalytic Property for the Degradation of Methyl Orange

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Wuhan University of Technology(Materials Science) 2019年第6期34卷 1479-1483页

作者： FANG Yanhong SU Xiaoying QUAN zhilong XIAO Congming College of Material Science and Engineering Huaqiao UniversityQuanzhou 362021China

In the presence of titanium dioxide powder, cross-linking reaction between commercial polyvinyl alcohol(PVA)-based macromonomer and acrylic acid(AA) was initiated with potassium persulfate in an emulsifying system. As a result, PVA-AA/TiO2 composite gel particles were obtained. The morphology and composition of the particles were analyzed with scanning electron microscopy(SEM), energy scattering x-ray spectroscopy(EDS), Fourier infrared spectroscopy(FTIR), and thermogravimetric analysis(TGA). The analysis results confirmed that the particles were the expected ones. TiO2 was dispersed homogeneously within the spheroidal particles. Compared to the control gel, the composite gel particles not only contained Ti element but also showed higher thermal stability. In addition, the photo-catalytic behavior of the particles for the degradation of methyl orange contained in aqueous solution was examined. The particles exhibited photocatalytic characteristic for the degradation of the model dye, which could be modulated by simply varying the amount of cross-linking agent or TiO2. The photo-catalytic degradation percentage of methyl orange maintained at 91%-96% after using the particles three times, which indicated that TiO2 could played its role repeatedly via being fixated within polyvinyl alcohol-based gel.

关键词： titanium dioxide composite gel particles controlled preparation photo-catalytic degradation

Surface and chemical diffusion effects of nanowire electrodes in lithium-ion batteries

在线全文

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2020年第11期63卷 2413-2422页

作者： JIA Ning PENG zhilong WANG Shuai LI JianJun YAO Yin CheN ShaoHua Institute of Advanced Structure Technology Beijing Institute of TechnologyBeijing 100081China Beijing Key Laboratory of Lightweight Multi-Functional Composite Materials and Structures Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China College of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China

Nanostructured electrodes with surface effect show a distinct advantage in prolonging the lifetime of lithium-ion(Li-ion)*** order to characterize the surface and chemical diffusion effects in a cylindrical nanowire electrode,a new theoretical model is proposed based on a combination of the diffusion theory and a surface energy density-based elastic *** the reformulation of the stress boundary condition in terms of a surface-induced traction,the bulk surface energy density and surface relaxation parameter are introduced as two simple parameters characterizing the surface effect in nanowire electrodes,instead of the surface elastic constants always used in existing ***-form solutions of the diffusion-induced elastic fields under potentiostatic operation are *** is found that the radial expansion and tensile stress in nanowire electrodes become smaller than the classical predictions without surface effect and decrease monotonically with a decreasing nanowire radius when the surface effect is *** phenomena can be basically attributed to the action of surface-induced traction on the nanowire *** results demonstrate the convenience and effectiveness of the present model in predicting the chemo-mechanical behavior of nanowire electrodes,which should be of guidance value for the optimal design of durable electrodes.

关键词： lithium-ion battery nanowire electrode diffusion-induced stresses surface effect surface energy density

MULTISTAGE DYNAMIC SYSTEM OF MICROBIAL BATCH FERMENTATION AND ITS PARAMETER IDENTIFICATION

在线全文

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2013年第6期6卷 121-130页

作者： YAN WANG XIAOHONG LI ENMIN FENG zhilong XIU School of ScienceUniversity of Science and Technology Liaoning Anshn 114051 P. R. China Department of Applied Mathematics Dalian University of Technology Dalian 116024 P. R. China School of Life Science and Biotechnolagy Dalian University of Technology Dalian 116012 P. R. China

Based on 1,3-propanediol production from batch fermentation of glycerol by Klebsiella pneurnoniae, a multistage dynamic system and its parameter identification are discussed in this paper. The batch fermentation process is divided into three stages exhibiting different dynamic behaviors and characteristics, from which a corresponding nonlinear multistage dynamic system is built. We then propose a parameter identification optimization model whose objective function is the average relative error. The model is solved by particle swarm optimization weighted by inertia, and the result shows that the relative error of our proposed model is 2-10%smaller than those of existing models.

关键词： Multistage dynamic system microbial batch fermentation parameter identification.

Highly emissive tribenzotriquinacene-based double-rimed nanocube

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2023年第7期16卷 9584-9590页

作者： zhilong Jiang Zihao Wu Jun Wang Bangtang Chen Min Wang Weiya Liu Wenzhi Lv Rui Miao he Zhao Die Liu Shenghua Chen Mingzhao Chen Pingshan Wang Institute of Environmental Research at Greater Bay Area Key Laboratory for Water Quality and Conservation of the Pearl River DeltaMinistry of EducationGuangzhou UniversityGuangzhou 510006China Department of Organic and Polymer Chemistry College of Chemistry and Chemical EngineeringCentral South UniversityChangsha 410083China Department of Chemistry Tsinghua UniversityBeijing 100084China College of Chemistry and Chemical Engineering Qiannan Normal University for NationalitiesDuyun 558000China

The study of discrete nanosized cages has gone a long way to seek aesthetically appealing structures and to carry out functional *** the construction of supramolecular cages via a bottom-up self-assembly process has been well developed,the sophisticated synthesis still remains a *** we report the design and assembly of a giant double-rimed nanocube Zn_(24)LH_(8),built with 8 tribenzotriquinacene as six-connected vertices and 24(tpy=terpyridine)connectivities serving as the *** the single-crystal structure of tribenzotriquinacene-based ligand LH,the bowl-shaped ligand defines a suitable rigid platform for the spatially well-defined attachment of three sets of parallel vertices,which promotes the quantitative formation of the desired three-dimensional(3D)double-rimed cubic *** formed nanocube Zn_(24)LH_(8)possesses molecular weight up to 25.6 kDa and side length 5.3 ***,the Zn_(24)LH_(8)exhibits strong cyan light emission with high luminescence quantum yields in solution and in the solid state based on the inherent cage-confinement induced emission *** adding orange-emissive Rhodamine B,emission tuning experiments were achieved including white light *** work presents a new system for the imitation of complex assemblies and provides a promising candidate for emissive materials.

关键词： self-assembly double-rimed nanocube terpyridine coordination light-emitting metallacages