超离子导体CaF2中的Ca2+亚晶格和F-亚晶格

CaF_2在熔化以前为超离子导体相。一些实验和理论的研究表明,在超离子导体相中,Ca~(2+)仍维持原有的面心立方骨架,而F~-则在Ca~(2+)骨架中运动。早期的分子动力学模拟结果表明Ca~(2+)的均方根位移仅约0.3A,而F~-的扩散系数可达2.6×10~(-5)cm·s~(-1),已是熔盐扩散系数量级。近年来的中子散射实验表明在扩散离子和近邻离子间存在着某种动力学相关。为解释这些事实,新近Gillan的分子动力学模拟表明扩散离子伴随着F~-亚晶格变形,而Kaneko和Ueda的分子动力学模拟则表明扩散离子伴随着近邻离子在同一运动方向的相关运动。进一步的研究尚待进行。八十年代初,Nelson等人提出了描述晶体、非晶和液态中键取向的键球谐函数方法。     

STUDY OF Cu-Mu CATALYST FOR THE SYNTHESIS OF METHYL FORMATE AND METHANOL FROM SYNTHESIS GAS

将一种新型的ＣｕＭｎ催化剂用于由合成气合成甲酸甲酯和甲醇，该催化剂表现出良好的反应活性和甲酸甲酯选择性。考察了反应温度、合成气压力及催化剂制备方法等对合成甲酸甲酯和甲醇的反应活性及选择性的影响。在反应条件下，产物收率最高达６０．１０ｇ／（Ｌ·ｈ），产物甲酸甲酯的选择性很高。用ＢＥＴ、ＸＲＤ及ＸＰＳＡｕｇｅｒ等测试方法对催化剂的比表面、晶相组成以及铜、锰在催化剂中的价态进行了表征，并探讨了催化剂失活的原因。     

Bi4PMo(12)O(49)催化剂的性质及其在丙烷选择氧化中的活性

从钼磷酸出发制备了Ｂｉ４ＰＭｏ１２Ｏ４９催化剂，ＩＲ及ＸＲＤ分析结果表明，高温焙烧后其基本组成为α－Ｂｉ２Ｍｏ３Ｏ１２／ＭｏＯ３，考察了该催化剂对丙烷的选择氧化生，ＥＳＲ及ＸＰＳ测定结果表明，反应后催化剂中Ｍｏ＾５＋的含量明显增加，这暗示着反应物种吸附在Ｍｏ＾６＋上，而Ｂｉ则为气相氧的入口。     

Pd-catalyzed selective addition of heteroaromatic C-H bonds to C-C triple bonds under mild conditions

Simple heteroarenes such as pyrroles and indoles undergo addition reactions to C-C triple bonds in the presence of a catalytic amount of Pd(OAc)(2) under very mild conditions, affording cis-heteroarylalkenes in most cases. The cleavage of aromatic C-H bonds is the possible rate-determining step in CH(2)Cl(2), and the addition of heteroaromatic C-H bonds to C-C triple bonds is in a trans-fashion.     

Theoretical studies on reductive etherification reactions between aromatic aldehydes and alcohols

The mechanism of reductive etherification reactions between aromatic aldehydes and alcohols has been investigated with the DFT(B3LYP)/6-31G method. One or two BH(3) molecules have been used to simulate the role of the catalyst and reducing agent. The solvent effects of the title reactions have been studied by the PCM model. It is found that the reactions between aromatic aldehydes and primary, secondary, and tertiary alcohols can proceed more easily in a polar solvent such as acetonitrile. The results provide evidence in theory to broaden the applications of reductive etherification reactions for the optimization of the radiochemical synthesis process of (18)F-labeled ether radiotracers.     

Photodissociation of Cycloketones by Ultraintense Femtosecond Laser Pulses

ThestudyofphotoionizationandphotodissociationprocessesinducedbyintensefemtosecondlaserpuIses(>lo"W/cm')withpolyatomicmoleculesbecomesofinterestbecausesomenewphenomenahavebeenobserved'-3.Sofar,mostoftheinvestigationsfocusontheexperimentalexplorationofphotoionizationprocesses'-'.Butthephotoionizationmechanismofpolyatomicmoleculesinanintensefslaserfieldisstillambiguous'.,.Incontrasttothephotoionizationprocesses,theunderstandingoffragmentationofmolecularionisevenpoorer.Corkumetal,'.,'reportedthef…     

Multi-stage portfolio selection problem with dynamic stochastic dominance constraints

We study the multi-stage portfolio selection problem where the utility function of an investor is ambiguous. The ambiguity is characterized by dynamic stochastic dominance constraints, which are able to capture the dynamics of the random return sequence during the investment process. We propose a multi-stage dynamic stochastic dominance constrained portfolio selection model, and use a mixed normal distribution with time-varying weights and the K-means clustering technique to generate a scenario tree for the transformation of the proposed model. Based on the scenario tree representation, we derive two linear programming approximation problems, using the sampling approach or the duality theory, which provide an upper bound approximation and a lower bound approximation for the original nonconvex problem. The upper bound is asymptotically tight with infinitely many samples. Numerical results illustrate the practicality and efficiency of the proposed new model and solution techniques.

     

基于新型核与灰度序列的时滞GM(1,N)模型及其应用

为了解决GM(1,N)模型在新型核与灰度的基础上,对驱动项的延迟作用机理不明确的问题,将时滞参数引入到GM(1,N)模型的驱动项中,构建了基于新型核与灰度的时滞GM(1,N)模型,分析了时滞参数的辨识方法,讨论了新模型的建模机理。为了更好地对该模型的有效性进行验证,将优化的时滞GM(1,N)模型对南京市的雾霾进行预测分析,选择GM(1,N)模型、一元回归模型与文中的优化模型进行对比。结果显示,优化模型对PM₁₀浓度的拟合精度更高,且误差均控制在5%之内,从而验证了提出的优化模型适用于具有时滞特征数据的模拟和预测。     

第II类双边拆卸线平衡问题建模与优化

报废汽车体积大,废弃物污染大,拆卸过程复杂,将作业任务均衡分配难。为此,本文对工作站数量确定的双边拆卸线平衡问题进行研究,建立问题数学模型,设计一种变邻域蛙跳算法。所提算法在寻优过程中采用变邻域搜索提高族群局部搜索效率;引入个体学习机制加快精英个体进化速度;提出基于二分法的节拍时间调整策略加快对最优节拍的搜索。最后,通过算例对算法性能进行验证并通过实例说明任务在拆卸线上平衡分配的重要性。