2个酰腙Schiff碱镍(Ⅱ)配合物的合成及其晶体结构研究

采用溶液合成法合成了2个酰腙Schiff碱的镍(Ⅱ)配合物[Ni(HOpbh)2].2H2O(1)(H2Opbh=2-羰基丙酸苯甲酰腙)和[Ni(HOpsh)(py)3].CH2Cl2(2)(H3Opsh=2-羰基丙酸水扬酰腙,py=吡啶).单晶X-射线结构分析表明,配合物1:晶体属四方晶系,I4122空间群,晶胞参数a=b=1.468 6(2)nm,,c=2.108 8(6)nm,V=4.548 1(16)nm3,Z=8,Dc=1.475 mg/m3,最终可靠因子R1=0.054 8,wR2=0.151 2.配合物2:晶体属单斜晶系,P21/c空间群,晶胞参数a=1.527 4(5)nm,b=1.170 5(4)nm,c=1.694 6(5)nm,β=113.364(6)°,V=2.781 2(15)nm3,Z=4,Dc=1.436 mg/m3,最终可靠因子R1=0.034 0,wR2=0.085 5.在配合物1中,每个镍(Ⅱ)离子由2个2-羰基丙酸苯甲酰腙负一价离子HOpbh-的4个氧原子和2个氮原子配位,形成畸变的八面体配位构型.配合物1分子间通过氢键的相互作用而形成1维链状结构.在配合物2中,每个镍(Ⅱ)离子由1个2-羰基丙酸水扬酰腙负二价离子HOpsh2-的2个氧原子和1个氮原子、3个吡啶分子中的氮原子配位,形成畸变的八面体配位构型.     

含氮多羧酸钴(Ⅱ)-钕(Ⅲ)异核配合物合成和晶体结构

用扩散法合成了配合物[NdCo(NTA)2(H2O)11/3(CH3OH)1/3]·(CH3OH)2/3.10/3H2O(1),晶体属三斜晶系,空间群为P1,晶胞参数为a=0.963 6(2)nm,b=1.044 9(2)nm,c=1.339 3(2)nm,α=107.04°,β=98.25(2)°,γ=103.98°,V=1.217 2(4)nm3,Z=2,配合物具有三维网络结构。配合物[Nd2Co3(EDTA)3(H2O)11·12H2O](2)用水热法获得,属单斜晶系,空间群为C2,晶胞参数为a=1.592 5(3)nm,b=1.465 5(2)nm,c=1.474 1(2)nm,β=116.407(2)°,V=3.081 3(8)nm3,Z=2。每个Nd3+通过羧基桥联3个Co2+,而每个Co2+与两个相邻Nd3+连接构成12员环从而形成二维杂金属层,相邻层之间通过水的氢键作用连接形成三维结构。     

[CuAc_2(dmpzH)_2]·2CH_3OH的合成与晶体结构(dmpzH=3,5-二甲基吡唑)

在回流条件下,3,5-二甲基吡唑(dmpzH)与Cu(Ac)2·H2O在甲醇中反应得到化合物[Cu(Ac)2(dmpzH)2]·2CH3OH(1.2CH3OH),该化合物通过元素分析、红外光谱等表征.X射线衍射法测得该晶体属于正交晶系,空间群为Pbcn,晶胞参数:a=1.565 1(3)nm,b=1.083 4(2)nm,c=1.124 0(2)nm,α=β=γ=90°,V=1.905 9(6)nm3,C15H26CuN4O5,Mr=405.95,Dc=1.415 g/cm3,Z=4,F(000)=852,R1=0.087 8,wR2=0.230 9,S=1.07 7.每个铜原子与两个氧原子和两个氮原子配位,形成一个扭曲的四面体配位结构.Cu-N、Cu-O键长分别为0.198 4(5)nm和0.200 5(4)nm.     

一维链状冠醚配合物:[Na(18-C-6)]2[Zn(mnt)2]的合成与晶体结构

研究了18冠6与Na2[Zn(mnt)2]的反应,并通过元素分析、红外光谱、单晶X-射线衍射对生成的配合物[Na(18-C-6)]2[Zn(mnt)2]进行了表征.配合物为单斜晶系,空间群C2/c.晶体学数据a=2.2418(6),b=1.1359(3),c=1.9887(6)nm,β=120.391(4)°,V=4.368(2)nm3,Z=4,Dcalcd=1.399g/cm3,F(000)=1 920,R1=0.0362,wR2=0.0560.在固态,配合物中,两个分子通过18冠6氧原子连接形成一维链状结构.     

水分子桥连的二维配位聚合物[(C_8H_(16)CoO_7)·2.5(H_2O)]_n的合成与晶体结构

用溶剂热法,以1,4-环己烷二羧酸为配体合成一个新的配合物[(C8H16CoO7)·2.5(H2O)]n。X-射线单晶衍射分析表明,晶体属单斜晶系,空间群为P21/c,晶胞参数a=0.981 0(2)nm,b=1.674 5(3)nm,c=0.808 20(16)nm,β=93.64(3)°,V=1.324 9(4)nm3,Z=2。在配合物中,中心离子Co(Ⅱ)与6个氧原子形成六配位,其中2个氧原子分别来自2个羧酸,另外4个氧原子来自配位水(Co—O键长范围0.201 7(5)~0.224 1(4)nm,O—Co—O键角范围86.16(17)°~178.94(19)°),中心Co(Ⅱ)与6个配位氧原子形成畸变八面体配位构型,羧酸配体上两边的氧原子分别与Co(Ⅱ)形成单齿配位。金属钴之间通过羧酸桥连形成一维链,链与链之间通过水分子桥连形成二维结构,层与层之间通过氢键连接形成三维超分子结构。     

H3[Nd{C5H3N（COO）2}3].10H2O的晶体结构

应用四圆衍射仪测定了H_3[Nd{C_5H_3N(COO)_2}_3]·10H_2O晶体结构,晶体数据:C_(21)H_(32)N_3O_(22)Nd,空间群P2_1/c,a=1.794 5(5),b=1.0 24 4(3),c=1.866 5(4)nm,β=112.05(2)°,V=3.180 2nm~3,Z=4,Z=4,D_?=1.718,D_0=1.73g/cm~3,结构用直接法解出,最后R因子为0.048,测定结果表明,三个配体围绕中心Nd(Ⅲ)形成稍微畸变的三帽三方柱配位多面体,Nd-O和Nd-N键长分别在0.246 9～0.251 0nm和0.255 4～0.2575nm之间。整个结构以及羧基氧原子与水分子和水分子间氢键联结起来。氢键键长在0.274 3～0.298 8nm之间。     

一维链状冠醚配合物:[K(18C6)]2[Pd(NO2)4](H2O)的合成与结构

研究了18冠6与K2[Pd(NO2)4]的反应,并通过元素分析、红外光谱、单晶X-射线衍射对生成的配合物[K(18C6)]2[Pd(NO2)4](H2O)进行了表征.配合物为单斜晶系,空间群P21/c.晶体学数据a=L 710 4(3),b=L 485 9(3),c=L 576 3(3)nm,β=93.49(3)°,V=3.998 7(14)nm3,Z=4,Dc"=L 507 mg/m3,F(0∞)=1 880,R1=0.068 1.wR2=0.100 4.在固态,配合物具有[K(18C6)]2[Pd(NO2)4](D和[K(18C6)]2[Pd(NO2)4](H2O)(2)两个基团,两者比例为1L 2中相邻的两个分子通过水分子中的氧原子相连接形成一维链状结构.     

一维链状冠醚配合物:[Na(18-C-6)]2[Zn(mnt)2]的合成与晶体结构

研究了18冠6与Na2[Zn(mnt)2]的反应.通过元素分析、红外光谱及X射线单晶衍射对得到配合物[Na(18-C-6)3]2[Zn(mnt)2]的结构进行了表征.结果表明:结果配合物为单斜晶系,空间群c2/c,晶体学数据:a=2.241 8(6),b=1.135 9(3),c=1.988 7(6)nm,β=120.4°,V=4.368(2)nm3,Z=4,Dcaled.=1.399 mg/m2,F(000)=1920,R1=0.036 2,wR2=0.0560.配合物的结构由两个[Na(18-C-6)]+和一个[Zn(mnt)2]2-组成,[Zn(mnt)2]2-畸变的四面体结构.[Na(18-C-6)]+中的钠原子除与mnt氮原子成键外,还与相邻冠醚中的氧原子成键,形成了一维无限链状结构.     

稀土配位聚合物[Pr(2,5-pdc)(OH)(H_2O)_2]·H_2O的合成、结构及热稳定性

采用水热方法合成一种新型的稀土有机配合物[Pr(2,5-pdc)(OH)(H2O)2].H2O,通过元素分析、红外光谱及X射线衍射方法对该配合物进行结构表征.结构分析表明:标题配合物属于单斜晶系;P21/c空间群;晶胞参数a=0.9350(4)nm,b=1.6158(6)nm,c=0.8309(3)nm,α=γ=90.000°,β=94.078(7)°,V=1.2521(9)nm3,Z=4.配合物中镨离子通过μ2-OH桥连接形成双核构筑单元,进一步通过2,5-pdc中的羧基氧原子连接形成三维结构.     

二维配合物(C16 H20KNi0.50O13) n的合成和晶体结构

在水溶液中用硫酸镍与邻苯二甲酸氢钾反应得到了二维配合物(C16H20KNi0.50O13)n,通过X-射线单晶衍射进行表征其结构.该配合物的晶体属单斜晶系,空间群P21/c,晶胞参数a=10.422 9(9),b=6.859 7(6),c=29.516(2),β=98.094 0(10),°V=2 089.3(3)3,Z=4,Dc=1.541 g/cm3,Mr=484.74,F(000)=996,μ(MoKα)=0.757 mm-1,R=0.058 3,wR=0.156 3[I>2σ(I)].晶体分析表明镍与6个水分子的氧原子配位形成畸变的八面体构型,其中H2O(10)中的氧原子作为桥联原子,同时与Ni和K配位.Ni原子、K原子、水分子和Hpht通过氢键构成了沿ab面的层状结构.     

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.