含钡低钛高炉渣硫分配系数的研究

就ＢａＯ质量含量１．０％－３．７％，ＴｉＯ２质量含量１．５％－４．０％，炉渣二元碱度（ＣａＯ／ＳｉＯ２）０．９５－１．１５的高炉渣脱硫能力进行了研究。结果表明：在实验条件下，炉渣脱硫反应是二级反应；炉渣硫分配系数Ｌｓ随二元碱度提高而提高；渣中ＴｉＯ２为３％时，Ｌｓ有一峰值。     

石墨还原CaO－SiO_2－Al_2O_3－FeO熔渣过程中泡沫化行为

石墨还原ＣａＯ－ＳｉＯ_２－Ａｌ_２Ｏ_３－ＦｅＯ熔渣过程中泡沫化行为黄宗泽，肖兴国，肖泽强，ＳＤ辛格在１４４０～１５３０Ｃ，通过Ｘ射线装置观测了石墨活原ＣａＯ－ＳＩＯ；－ＡＩ。Ｏ。－ＦｅＯ＄渣（ＣａＯ）／ＳＩＯ。一０·７５～１·５）中ＦｅＯ反应过程中?..     

磷在CaO-CaF_2渣和Fe-C-P熔体间的平衡分配

对磷在１４５０℃的ＣａＯ－ＣａＦ２熔渣和Ｆｅ－Ｃ饱和－Ｐ铁液间的平衡分配比进行了测定，进而对该渣的磷容量和渣中磷氧化物的活度系数进行了计算     

含FeO熔渣还原过程起泡行为研究

在１４４０－１５３０ ℃，通过Ｘ射线装置观测了石墨还原ＣａＯ－ＳｉＯ２－Ａｌ２Ｏ３－ＦｅＯ熔渣（ＣａＯ／ＳｉＯ２＝０．７５－１．５）中ＦｅＯ反应过程中渣的起泡行为，测定了熔渣的起泡指数和起泡率等参数。结果表明，熔渣的起泡率随熔渣中ＦｅＯ的初己考叭墼疃鹊纳叨龃蟆?     

氧缺位铁酸锰分解CO_2成C的研究

空气氧化湿法制备的ＭｎＦｅ２Ｏ４在Ｈ２还原下，生成氧缺位铁酸锰ＭｎＦｅ２Ｏ４－δ（０＜δ＜１），利用ＸＲＤ和Ｍｏｓｓｂａｕｅｒ谱等技术，对它的性质（还原性，晶格常数稳定性）进行了详细地研究，考查了在氧缺位铁酸锰（ＭｎＦｅ２Ｏ４－δ，δ＞１）及ＭｎＯ－ＦｅＯ固溶体下ＣＯ２分解成Ｃ的活性，结果表明（ＭｎＦｅ２Ｏ４－δ，δ＞１）能够有效地分解ＣＯ２成Ｃ，并且在反应以后自身转变成了化学计量的ＭｎＦｅ２Ｏ４，ＭｎＯ－ＦｅＯ分解ＣＯ２以后，一部分变为ＭｎＦｅ２Ｏ４，一部分仍然保持ＭｎＯ－ＦｅＯ固溶体结构     

原位反应生成Al-Fe/Al_2O_3,Al-Cu/Al_2O_3复合材料的过程原理

采用喷射共沉积法制备了Ａｌ－Ｆｅ２Ｏ３及Ａｌ－ＣｕＯ复合体，Ｆｅ和Ｃｕ的质量分数分别为９．６０％和５．５０％．在热处理过程中，随着温度由６００℃升高到８００℃和１０００℃，Ｆｅ３Ｏ４按Ｆｅ３Ｏ４ＦｅＯＦｅ顺序被还原，得到Ａｌ－Ｆｅ／Ａｌ２Ｏ３复合材料，其中Ｆｅ以Ａｌ１３Ｆｅ４相及ＡｌＦｅ相形式存在．Ａｌ２Ｏ３粒度为２～４μｍ均匀分布在基体中．Ａｌ／ＣｕＯ复合体在９００℃处理后，形成Ａｌ－Ｃｕ／Ａｌ２Ｏ３复合材料．文中对显微结构形成、反应进行的过程作了分析．     

应用LCAO方法计算新型稀土永磁Y2Fe17Cx的居里温度

使用ＬＣＡＯ对永磁系列Ｙ２Ｆｅ１７Ｃｘ（ｘ＝０，１，２，３，）的电子结构计算结果，计算了该系列模型材料的居里温度，并和基底材料Ｙ２Ｆｅ１７作了对比．居里温度的增长系数和实验符合较好．     

山东蓝宝石的优化处理研究

报道了山东蓝宝石的部分物理—化学性质和优化处理结果。中子活化分析得出，平均全铁含量约为１％，钛约为０．０４％。穆斯堡尔谱学分析表明，大多数铁处于二价态。高压电子显微镜分析给出四种原生包体：钛铁矿ＦｅＯＴｉＯ２，假板钛矿Ｆｅ２ＴｉＯ５，钙钛矿ＣａＴｉＯ３及非晶态相。优化处理实践证明，经高温氧化处理后，山东蓝宝石的品质能够得到显著改善，表现为透明度提高，颜色变浅。相应的部分内在变化为Ｆｅ２＋／Ｆｅ３＋值降低，非晶态相初晶化，钛铁矿ＦｅＯＴｉＯ２消失，析出钛酸铝Ａｌ２ＴｉＯ５和铁铝氧化物Ａｌ２Ｏ３Ｆｅ２Ｏ３。要获得纯正的蓝色，须严格控制处理温度和相应的氧分压，尽量使Ｆｅ２＋／Ｆｅ３＋值趋近于１。为获得优质蓝宝石，应对黑色本底作深入研究。     

活性艳红X—3B氧化脱色的研究

采用Ｆｅｎｔｏｎ试剂对高浓度活性艳红Ｘ－３Ｂ废水进行氧化脱色。研究表明,ＦｅＳＯ４．７Ｈ２Ｏ＝０．４ｇ／ｌ,Ｈ２Ｏ２＝３．０ｍｌ,ｐＨ＝３－５时,３０ｍｉｎ内的脱色率达９５％以上,１２０ｍｉｎ时残留ＣＯＤｃｒ为８７．６ｍｇ／ｌ．Ｆｅｎｔｏｎ试剂的脱色作用。     

掺锑α－Fe_2O_3超微粉材料的晶粒生长、微结构与气敏特性

用化学共沉淀法制得掺有一定量锑离子的α－Ｆｅ２Ｏ３，超微粉料．ＴＧ－ＤＴＡ、ＸＲＤ及ＳＥＭ等分析表明，掺锑量（Ｓｂ／Ｆｅ原子比）小于０．２时，材料仍保持α－Ｆｅ２Ｏ３的晶体结构，但其晶化温度随Ｓｂ含量的增加向高温区移动；在低温段纯α－Ｆｅ２Ｏ３的晶粒生长活化能（Ｑ＝１０．３ｋＪ／ｍｏｌ）远小于Ｓｂ／Ｆｅ＝０．１（Ｑ＝３５．３ｋＪ／ｍｏｌ）粉料的活化能；Ｓｂ５＋取代α－Ｆｅ２Ｏ３晶粒中Ｆｅ３＋格位与在４５０℃下长期工作粉料颗粒不易长大，是造成掺锑α－Ｆｅ２Ｏ３元件电阻降低一个多数量级及气敏性能显著改善的主要原因．     

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…     

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).     

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.     

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.