人工神经网络在o′-Sialon-BN复合材料设计中的应用

对神经网络和传统模式识别技术的基本原理和应用特点进行比较．根据已有烧结合成O′-Sialon的实验数据,利用改进后的人工神经网络,构筑了材料相组成及性能的预测模块,并与模式识别技术处理得到的结果进行了比较．在此基础上,探索了合成O′-Sialon-BN复合材料的工艺条件,并通过实验结果进行了验证．     

不同几何形状CaCO_3超微粒子的合成

用不同方法合成了纳米级链状CaCO3及微米级纺锤形、立方形、球形CaCO3粉体材料，并对各自的物理性质和结构进行了测定和表征．对不同形状CaCO3的形成机理进行了初步的探讨．     

新型功能化介孔材料CH3-MCM-41-NH2的合成和表征

以硅酸钠为硅源,十六烷基三甲基溴化铵（CTAB）为模板剂,合成介孔材料MCM-41．采用两步嫁接法,分别用三甲基氯化硅（TMSCL）和3-氨基三乙氧基硅烷（APTS）对合成的介孔分子筛进行化学修饰,首次将甲基和氨基同时嫁接到介孔材料MCM-41上,得到新型的介孔材料CH3-MCM-41-NH2．利用XRD和FT—IR对合成的新型功能化介孔材料进行表征．     

镁基储氢材料的研究进展

从镁基储氢材料体系入手，综述了该体系的研究情况及近期进展．对镁基储氢材料进行了合理的分类，将其分为单质镁储氢材料、镁基储氢合金和镁基储氢复合材料．并结合各类镁基储氢材料的国内外研究状况，指出要改善镁基储氢材料的储氢性能，必须走多元合金化的路线并在学习有关理论的基础上，采用优化合金成分与新的合成方法来进一步提高材料的储氢性能．     

合成温度和原料粒度对钛酸铝性能的影响

研究了合成温度和原料粒度对钛酸铝性能的影响．结果表明．钛酸铝材料的临界晶粒尺寸和材料内部所合成的晶粒尺寸大小对微裂纹的产生关系重大．控制微裂纹的多少与大小可改善其热膨胀和机械特性．降低合成温度和原料粒度可使合成的钛酸铝材料内部裂纹少而且小．故其强度提高．但其热膨胀系数有所增大．     

磷锗锌多晶合成装置设计研究

研究设计了ZnGeP_2多晶的合成装置,包括合成安瓿,合成炉结构与温场分布。利用自行设计的合成装置,采用两温区气相输运法进行ZnGeP_2多晶合成实验,并对合成的多晶材料进行XRD,EDS和密度测试。结果表明,合成产物为高纯、单相的ZnGeP_2多晶材料,设计的多晶合成装置和两温区气相输运合成工艺适合ZnGeP_2多晶的合成,为高质量ZnGeP_2多晶材料的获得奠定了基础。     

LiFePO_4的水热合成及电化学性能

通过水热法合成了纯度较高、结晶良好且粒径均匀细小的LiFePO4粉体.采用XRD,SEM对材料的结构和形貌进行分析,并研究了水热合成温度和反应时间对材料电化学性能的影响.结果表明,提高反应温度和延长合成时间有利于提高材料的结晶度,但会增大材料粒径.200℃水热合成5 h样品电化学性能最佳,0.1C倍率首次放电比容量138.0 mAh.g-1,具备工业化实用性.在水热合成中加入抗坏血酸和葡萄糖可有效避免Fe2+的氧化并增强材料的导电性.     

CuPc/H2PtCl6有机半导体毒气传感器的制备与性能

针对有毒有害气体的监测问题,采用有机合成工艺制备了CuPc有机半导体材料,并对其进行杂化处理和电极设计,形成了具有较佳性能的毒气传感器．以对甲基苯酚、4-硝基邻苯二晴为原材料,以N,N-二甲基甲酰胺为溶剂,在N\-2保护和碳酸钾的催化作用下合成酞菁分子碎片,再以共溶技术合成了4取代对甲苯氧基CuPc．然后,按照一定比例将CuPc和H\-2 PtCl\-6共溶在甲醇溶液中,杂化合成了有机半导体CuPc/H\-2PtCl\-6气敏材料．并采用多孔电极结构结合真空饺技术形成气敏薄膜型传感器．质谱和红外吸收光谱分析验证了合成工艺路线的正确性．电子扫描观察了多孔电极和气敏膜的微观形貌．气敏性能测试表明,CuPe/H\-2PtCl\-6对Cl\-2和H\-2S等有毒气体有较好的敏感性和选择性．     

微乳中复凝聚法制备壳聚糖明胶纳米胶囊

以明胶和壳聚糖作为包裹材料,在O／W型微乳液模板中,用复凝聚的方法制备纳米胶囊,考察了影响合成纳米胶囊的主要因素,并进行了分析．结果表明,本实验采用的在微乳中复凝聚法合成了分散性好、粒度均匀、粒径200—400nm的球形纳米胶囊．制备了尼莫地平（NMP）纳米胶囊,得到包封率达到90％、粒径500～800nm的载药纳米胶囊．     

纳米钨酸锌的制备及其光催化性质的研究

旨在探索利用水热法合成钨酸锌材料的纳米结构,并对其所合成的材料的结构和形貌进行表征,测试了合成材料的光催化性质,以硝酸锌和钨酸钠作起始物,用PVP和SDBS作为修饰剂利用水热法合成不同形貌的纳米钨酸锌。利用X射线粉末衍射（XRD）、透射电子显微镜（TEM）等对产物进行表征。测试了合成钨酸锌纳米材料的紫外光催化性质,表明合成的钨酸锌具有较高的紫外光催化活性,说明钨酸锌具有潜在的应用价值。     

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.     

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.     

A computer generator for randomly layered structures

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

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.