铝掺杂氧化锌薄膜电学特性的研究

利用脉冲激光沉积法,在氧气氛下(氧分压为20 Pa)以硅为基体制备了ZnO:Al透明导电膜.靶材选用(ZnO)1-x(Al2O3)x陶瓷靶,沉积过程中基体温度保持在600℃.通过对膜进行霍尔效应测量及SEM、XRD测试分析,研究了靶材中的化学配比(掺杂比)对膜的电学特性的影响.结果表明:掺杂比影响着膜的电学性能和膜的结晶状况.掺杂铝的质量分数为1.37%时所获得的ZnO薄膜具有最小的电阻率.     

铝阳极氧化膜的界面性能与常温封闭

采用电渗法研究了几种电解质溶液对铝阳极氧化多孔膜界面性能的影响．结果表明,含有Ｆ－,ＳｉＯ２－３,ＰＯ３－４,Ｓ２Ｏ２－３和酒石酸根等的电解质溶液,使多孔膜的等电点ｐＨＩＥＰ由原来的９．２０分别移至３．４０,３．３０,４．３０,３．９０和３．８０,膜的带电性能发生了相应的变化．多孔膜带电性能的变化有利于常温封闭液中的金属离子进入多孔膜内,同时Ｆ－,Ｓ２Ｏ２－３还可通过与膜内Ｈ＋,Ｈ２Ｏ等的相互作用,使膜孔内ｐＨ升高,从而加速金属离子在膜内的水解沉积,促进常温封闭的进行．     

zr掺杂对Ti02光学性质的影响

利用电子束沉积方法在玻璃基底上制备了TiO2薄膜及zr掺杂TiOz薄膜．采用拉曼光谱仪和分光光度计对膜的结构和吸收光谱进行了表征;研究结果表明：退火温度为773K时,沉积得到的Ti02薄膜为锐钛矿结构的薄膜;Zr掺杂锐钛矿型TiO2,导致带隙减小,掺杂后在350—450nm附近的光吸收系数增大,TiO2的吸收带产生红移,增强了TiO2的光催化活性;1％掺杂量对光的吸收系数于大5％的掺杂量．     

掺铜TiO2的制备及其光催化降解铝试剂1的研究

采用sol-gel法和高温灼烧制备了掺杂不同量的Cu^2 的TiO2／glass膜及纳米TiO2颗粒．研究了其对铝试剂的光催化降解过程，并由紫外吸收光谱对降解的中间产物进行了初步探讨．结果表明掺杂量为0．07％的Cu^2 时，光催化活性最佳．结合压电传感技术在线检测了不同气体氛围对TiO2光催化剂催化效果的影响，定量说明O2有利于光催化，而N2对其有抑制作用．     

SnO_2薄膜的形貌及其电特性分析

我们用ＰＥＣＶＤ方法制备出ＳｎＯ_２薄膜，透射电镜ＴＥＭ分析表明沉积温度由高到低时，ＳｎＯ_２膜从多晶态转变为非晶态，并且其电阻率随之增加；沉积时氧气流量增加时，ＳｎＯ_２的电阻率增加。     

复合氧化物气敏材料的制备与特性

用固相反应法及共沉淀法制备了ＬａＮｉＯ３系与ＬａＣｏＯ３系复合氧化物，讨论了掺杂ＴｉＯ２、Ｖ２Ｏ５、ＳｎＯ２、Ｓｂ２Ｏ３等对材料结构的影响．以及材料结构与气敏性质的关系，发现选择合适的掺杂物与掺杂量及适宜的热处理温度，可获得具有理想敏感特性的复合材料     

掺铁TiO2用于NO-2光催化降解研究

采用溶胶－凝胶法制备了掺杂铁的ＴｉＯ２粉未,并用ＸＲＤ、ＳＥＭ、ＵＶ－Ｖｉｓ漫反射光谱等技术手段考察了掺入铁ＴｉＯ２粒子形态的变化,以及掺杂与否对氧化降解ＮＯ２＾－的影响。研究结果表明,铁的掺入可影响ＴｉＯ２的结构相变及粒子大小,并且发现掺杂后ＴｉＯ２对ＮＯ２＾－的氧化活性显著提高,在掺杂量３．０％时具有最佳活性。     

SnO_2·ZnO纳米微粒／硬脂酸交替L－B膜的制备及结构

采用胶体化学方法制备了ＳｎＯ_２．ＺｎＯ微粒的水溶胶和有机溶胶，实验结果表明，ＳｎＯ_２·ＺｎＯ胶体存在着明显的量子尺寸效应。应用Ｌ－Ｂ膜技术制备了ＳｎＯ_２·Ｚｎｏ纳米微粒／硬脂酸交替Ｌ－Ｂ膜，用原子力显微镜观察了ＳｎＯ_２·ＺｎＯ纳米微粒／硬脂酸交替Ｌ－Ｂ膜的形貌。通过加热除去硬脂酸后的ＳｎＯ_２·ＺｎＯ膜有好的气敏性及对酒精的选择性。     

掺硼浓度对间歇法生长硼掺杂纳米金刚石膜的影响

采用直流热阴极等离子体化学气相沉积(直流热阴极PCVD)法,以硼酸三甲酯为硼源,通过金刚石膜的间歇式生长过程,制备硼掺杂纳米金刚石膜,研究不同的硼源流量对硼掺杂纳米金刚石膜的影响,并用扫描电子显微镜、拉曼光谱仪、X射线衍射仪对样品进行了表征.     

电子束蒸发沉积金属-TiO_2薄膜的结构和光学性质

采用电子束蒸发法在玻璃基底上制备了TiO2薄膜及Fe、Cu、Al掺杂TiO2膜,通过XRD、Raman光谱、XPS及AFM等测试手段研究了TiO2膜及金属-TiO2掺杂膜的结构、组成和形貌。金属掺杂量为1%,退火温度为773 K时,沉积得到的薄膜均为锐钛矿晶体结构的TiO2,掺杂金属的种类对薄膜的晶粒尺寸有一定的影响。采用紫外-可见分光光度计测试薄膜的吸收光谱,掺杂后TiO2的吸收带边发生改变,薄膜对可见光的吸收明显加强。光催化降解甲基橙实验表明,制备的TiO2薄膜及其金属掺杂膜具有一定的光催化活性,且Fe-TiO2膜的降解效率较高。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.