FERE法研究M_xO_y(M=Sc、Ti、V、Cr、Mn、Fe、Co、Ni)形成能

采用密度泛函理论(DFT)中的广义梯度近似法(GGA+U)对氧化物M_xO_y(M=Sc、Ti、V、Cr、Mn、Fe、Co、Ni)进行几何结构优化,然后计算其总能,根据形成能与总能的关系求出它们的形成能,再用FERE(Fitted Elemental-phase Reference Energies)方法对形成能进行修正。结果表明:修正后,每个单胞形成能相对实验值的平均绝对偏差由0.59 eV降低到0.46 eV,其中Ti-O、V-O、Co-O和Ni-O化合物的形成能修正值更接近实验值;而其他元素氧化物的形成能修正值相对于实验值的平均绝对偏差略有增大。     

计算元素电离势的新方法

根据中心力场模型 ,应用数学插值原理发展了一种计算元素电离势的新方法 ,据此可根据已知元素的电离势对其它元素的电离势进行计算或预测 对 2 0 0多个数据点的计算结果表明 ,元素电离势计算值与实验值的一致性令人满意 ,平均误差 1 14eV     

SnS电子结构和光学性质的第一性原理研究

采用基于密度泛函理论的第一性原理平面波超软赝势方法, 建立了SnS超晶胞模型并进行了几何结构优化, 对其能带结构、态密度、电荷密度及光学性质进行了模拟计算. 结果显示, SnS是一种直接带隙半导体,计算所得的带隙值0.503 eV低于实验值的1.3 eV.态密度计算表明,SnS是具有一定共价性的离子键晶体.当光子能量在0 ~ 3.10 eV和大于7.47 eV范围内时,晶体表现为介电性,在3.10 ~ 7.47 eV范围内晶体表现为金属性.SnS具有数量级105 cm-1的吸收系数,能强烈地吸收光能.     

烷基硫自由基的结构和电子亲合能

选用7种不同的密度泛函理论方法,在全电子双ζ加极化加弥散函数基组(DZP++)下,对烷基硫自由基及其负离子进行系统研究,获得它们的基态结构和电子亲合能.结果表明,B3LYP方法预测的绝热电子亲合能与实验值吻合,平均绝对误差是0.047 eV;预测的电子亲合能分别为1.838 eV(CH3S),1.925 eV(C2H5S),1.939 eV(n-C3H7S),1.961 eV(n-C4H9S),1.969 eV(n-C5H11S),2.023 eV(i-C3H7S)和2.055 eV(t-C4H9S).     

计算元素电离势的新方法

根据中心力场模型，应用数学插值原理发展了一种计算元素电离势的新方法，据此可根据已知元素的电离势对其它元素的电离势进行计算或预测，对200多个数据点的计算结果表明，元素电离势计算值与实验值的一致性令人满意，平均误差1.14eV.     

三种5,7–二苯基–1,8–萘啶衍生物的理论光谱计算

运用密度泛函理论在B3LYP/6–31G(d)基组下优化了3种5,7–二苯基–1,8–萘啶衍生物分子结构.优化结构后,采用含时密度泛函理论计算了它们在气相和液相中的电子吸收光谱.通过对前线分子轨道和能量的分析,表明3种化合物的最高占据轨道与最低空轨道的能量差均稍大于4.00eV.通过液相和气相的最大吸收值与实验值的比较,发现在液相和气相中的计算值与实验值都接近.它们的最大吸收峰相近,都在330～340nm左右,且最大吸收值归属于最高占据轨道向最低空轨道的电子跃迁.     

B_(16)N_(16)Li_n(n=1,2,3,4,6,12)团簇的电子结构及稳定性

基于密度泛函理论B3LYP/6-31G(d,p)方法,研究了Li原子与B16N16团簇的结合方式和稳定性,并分析了电子结构.结果表明,2个Li原子担载到1个B原子形成2个B-N键时最稳定,Li原子的平均结合能约为1.0eV,大于Li原子之间的结合能,Li原子不会在团簇表面发生聚集.在B16N16Lin(n=1,2,3,4,6,12)体系中,Li原子向团簇转移电子,随着Li原子数目的增加,Li原子的净电荷由0.72e减少到约0.50e,Li原子的2s轨道形成的占据轨道不断升高,体系的能隙由2.64eV减小到1.59eV.     

氧化物超导电性与硬度的密度泛函理论计算值

通过对氧化物超导体元素硬度的平均值进行研究,发现其具有较好的规律性.本文提出用硬度均衡值ηcq作为氧化物超导电性新的经验判据.笔者依据Slater过渡态法计算元素的硬度作为标度,用均方根的方法得出氧化物中元素硬度的均衡值ηcq;计算了200余种氧化物中元素硬度的均方根值η.,结果表明,氧化物超导体的硬度均方根均衡值总是介于4.790～5.429之间;而硬度均衡值在此范围之外的氧化物不具有超导电性,这无疑为氧化物超导电性的判定提供了一种全新的判据.     

氮化铝分子及氯化锂分子结合能的量子蒙特卡罗研究

通过量子蒙特卡罗方法(QMC)利用不同的密度泛函轨道对氮化铝分子及氯化锂分子的结合能进行研究.采用扩散蒙特卡罗方法(DMC)得到氮化铝分子的结合能为2.993 eV,氯化锂分子的结合能为6.694 eV.与其他理论计算相比较,更接近实验得到氮化铝和氯化锂分子的结合能(2.862±0.391 eV和6.646 eV).同时,利用密度泛函理论对氮化铝分子及氯化锂分子的结合能进行研究时发现,利用密度泛函理论计算得到的结合能范围跨度很大且非常不准确.另外,在利用量子蒙特卡罗方法的计算中发现,不同类型的密度泛函轨道对结合能的计算产生一定的影响,这就需要在利用量子蒙特卡罗方法进行计算时考虑轨道的选择.     

在平均场加邻近轨道对力模型下研究中子数N=96大形变核性质

应用严格可解的Nilsson平均场加邻近轨道对力模型,在区分质子和中子情形下,研究稀土区大形变原子核的性质,计算中子数N=96的同中异质素核的结合能,奇偶能差和转动惯量并与相应的实验值进行比较.结果表明,利用该模型可以合理描述N=96同中异质素核的结合能和奇偶能差的实验值,也可以合理描述转动惯量的实验值.相比于偶偶核,奇A核的转动惯量理论值和实验值仍有一定的偏差,可能的物理原因值得进一步分析.     

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).     

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.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.