广义严格对角占优矩阵新的判定准则

In this paper we provide the new criteria for a strictly generalized diagonally dominant matrix, and it proves by an example that the results of this paper extend the results in[6]. In addition, we obtain the criteria of the nonsingular M-matrix.     

Enhancements of rate capability and cyclic performance of spinel LiNi0.5Mn1.5O4 by trace Ru-doping

The rate capability and cyclic performance of the LiNi_0.5Mn_1.5O₄ under high current density have been significantly improved by doping a small amount of ruthenium (Ru). Specifically, Li_1.1Ni_0.35Ru_0.05Mn_1.5O₄ and LiNi_0.4Ru_0.05Mn_1.5O₄ synthesized by solid state reaction can respectively deliver a discharge capacity of 108 and 117 mAh g^?1 at 10 C rate between 3 and 5 V. At 10 C charge/discharge rate, Li_1.1Ni_0.35Ru_0.05Mn_1.5O₄ and LiNi_0.4Ru_0.05Mn_1.5O₄ can respectively maintain 91% and 84% of their initial capacity after 500 cycles, demonstrating that Ru-doping could be a way to enhance the electrochemical performance of spinel LiNi_0.5Mn_1.5O₄.     

Hydrothermal synthesis and characterization of micro/nanostructured ZnSn(OH)6/ZnO composite architectures

Micro/nanostructured ZnSn(OH)₆/ZnO composite architectures were synthesized through a simple one‐step hydrothermal method. Phase structure and morphology of the products were characterized by using X‐ray diffraction (XRD), scanning electron microscope (SEM) and transmission electron microscope (TEM). ZnSn(OH)₆ microcubes and ZnO nanorods with uniform size were interconnected to form the micro/nanostructured architectures. ZnO nanorods preferentially grow at edges and corners of the microcubes. Morphology of the products was susceptible to concentration of the reactants. With increasing reactant concentration, the ZnO nanorods grown on the surfaces of ZnSn(OH)₆ microcubes disappeared. Meanwhile, the smooth surfaces of the ZnSn(OH)₆ microcubes become coarsened and were etched to spherical outlines. Growth mechanism of the micro/nanostructured ZnSn(OH)₆/ZnO composite architectures was discussed and thermal decomposition properties of the micro/nanostructured ZnSn(OH)₆/ZnO composite architectures at high temperature were examined. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

三维荧光二阶校正同时测定人体液中伊立替康及其代谢物7-乙基-10-羟基喜树碱的含量

提出了激发发射矩阵荧光光谱与化学计量学二阶校正方法相结合用于同时快速定量人体液(血浆和尿液)中的伊立替康(CPT11)和其主要代谢产物7-乙基-10-羟基喜树碱(SN38)的绿色、高灵敏分析策略. 尽管其分析物之间以及分析物和背景之间的光谱存在严重重叠现象, 采用基于交替归一加权残差(ANWE)算法的二阶校正方法进行解析仍能得到令人满意的定性定量分析结果. 当该体系的组分数选取为3时, 可以得到血浆和尿液中CPT11的平均回收率分别为(96.8±6.3)%和(101.7±1.1)%, SN38在血浆和尿液中的平均回收率分别为(100.4±4.9)%和(101.6±1.1)%. 另外, 通过品质因子, 如灵敏度(SEN)、选择性(SEL)、检测下限(LOD)和定量检测限(LOQ)评估了该方法的准确性. 实验结果表明, 该方法能以“数学分离”代替繁琐的“物理和化学分离”, 成功地解决实际复杂体系中内源干扰物质与分析物光谱重叠所引起的难分辨的问题, 可用于人体液中CPT11和SN38含量的直接快速定量测定.     

Co-W合金镀层表面氧化膜在碱性体系中的电化学研究

采用电化学手段以及Mott-Schottky理论, 并结合氧化膜点缺陷模型(PDM)分析研究了Co-W合金镀层在1 mol• L^－1 NaOH溶液中表面氧化膜的半导体性质, 并分别计算出了不同W含量的Co-W合金镀层在－0.15, －0.25和－0.35 V三个不同电位下阳极氧化后氧化膜的供体密度、平带电位及氧空穴扩散系数. 结果表明, Co-W合金镀层在1 mol•L^－1 NaOH溶液中表面氧化膜的Mott-Schottky曲线线性区斜率为正, 表现出N型半导体性质|随着阳极氧化电位的升高或合金镀层W含量的降低, 氧化膜供体密度N_D逐渐增大, 导致氧化膜被破坏或发生点蚀的几率升高|随着阳极氧化电位的降低或合金镀层W含量的降低, 氧化膜平带电位呈降低趋势, 说明其耐蚀性升高|不同W含量的Co-W合金镀层在三个不同电位下阳极氧化后的氧化膜的氧空穴扩散系数为(1.543～8.533)×10^－14 cm²•s^－1.     

Comparison of external electric and magnetic fields effect on binding energy of hydrogenic donor impurity in different shaped quantum wells

The effects of external electric and magnetic fields on the ground state binding energy of hydrogenic donor impurity are compared in square, V-shaped, and parabolic quantum wells. With the effective-mass envelope-function approximation theory, the ground state binding energies of hydrogenic donor impurity in InGaAsP/InP QWs are calculated through the plane wave basis method. The results indicate that as the quantum well width increases, the binding energy changes most fast in SQW. When the well width is fixed, the binding energy is the largest in VQW for the donor impurity located near the center of QWs. For the smaller and larger well width, the electric field effect on binding energy is the most significant in VQW and SQW, respectively. The magnetic field effect on binding energy is the most significant in VQW. The combined effects of electric and magnetic fields on the binding energy of hydrogenic donor impurity are qualitative consistent in different shaped QWs.     

金属有机骨架材料在催化中的应用

金属有机骨架(MOFs)材料是一种相对新型的多孔材料,由于其结构的多样性、可设计性、可剪裁性以及超高的比表面积,近年来吸引了广泛的研究兴趣,并在很多领域展现了潜在的应用前景.特别是在催化方面的应用更受到了强烈的关注.本文的前两部分主要以催化活性位点的来源进行分类,包括配位不饱和金属中心、功能性有机配体、化学修饰接入功能位点以及嵌入在MOFs孔内的金属配合物或金属纳米颗粒等,总结了近几年来MOFs及其复合材料在多相催化方向取得的一些进展.同时在后面两部分也简要地介绍了MOFs在光催化及以MOFs为模板构筑的多孔纳米材料在催化(特别是电催化)方面的一些应用.最后,对MOFs在催化方面的应用前景做了展望.     

磁化套筒惯性聚变典型物理过程及特征参量

磁化套筒惯性聚变(MagLIF)结合了传统磁约束聚变(MCF)与惯性约束聚变(ICF)的优势,理论上在有限的驱动能力下可以有效降低聚变实现的难度,具有极大的应用潜力。基于一维集成化物理模型编写了数值模拟程序,以ZR装置典型驱动能力27 MA为出发点,以时间演化为顺序,通过数值模拟系统性地总结分析了典型负载参数下MagLIF构型初始化、加速内爆及迟滞3个关键过程中重要特征参量的分布及演化情况。数值模拟结果有助于理解MagLIF构型从预加热经由燃料压缩到最终发生聚变这一快速而复杂的过程,从而为建立相应的物理图像和认知提供了重要支撑,与传统ICF典型参数的对比也体现了该构型的优势所在,为后续研究奠定了基础。     

Compact and high-energy diode-side-pumped Q-switched Nd:YAG slab laser system for space application

We develop a compact and high-energy Nd：YAG slab laser system consisting of an oscillator and an amplifier for space applications. The oscillator is a diode-side-pumped electro-optically Q-switched slab laser with a cross-Porro resonator. The KD＊P Pockels cell with a low driving voltage of 950 V is used to polarization output coupling. The amplifier is a Nd：YAG zigzag slab pumped at bounces. The maximum output pulse energy of 341 m3 with 13 ns pulse duration is obtained from the system at the repetition rate of 20 Hz and the beam quality factors are M2=3.1 and M2=3.5. The beam pointing stabilities of the laser system are 3.05μrad in the X-direction and 3.99 grad in the Y-direction, respectively.     

A framework for classification with single feature kernel matrix

In this paper, we propose a novel classification framework using single feature kernel matrix. Different from the traditional kernel matrices which make use of the whole features of samples to build the kernel matrix, this research uses features of the same dimension of any two samples to build a sub-kernel matrix and sums up all the sub-kernel matrices to get the single feature kernel matrix. We also use single feature kernel matrix to build a new SVM classifier, and adapt SMO (Sequential Minimal Optimization) algorithm to solve the problem of SVM classifier. The results of the experiments on several artificial datasets and some challenging public cancer datasets display the classification performance of the algorithm. The comparisons between our algorithm and L₂-norm SVM on the cancer datasets demonstrate that the accuracy of our algorithm is higher, and the number of support vectors selected is fewer, indicating that our proposed framework is a more practical approach.