硫钒铜矿化合物电子结构和电致变色特性的第一原理研究

基于密度泛函的第一原理赝势平面波方法，计算晶体结构、电子结构和光学性质，研究硫钒铜矿化合物Cu₃VS₄、Cu₃NbS₄和Cu₃TaS₄的电子输运及电致变色特性，探讨作为透明半导体材料应用于太阳能电池和电致变色器件的可能性.电子结构的计算表明这类化合物是间接带隙半导体，其电子能带的导带底和价带顶分别位于布里渊区的X点和R点.价带顶的电子本征态主要来自于Cu原子的d电子轨道，而导带底电子态主要来源于VB族元素原子的d电子轨道.能带结构、电荷布居分析、电子局域化函数和光吸收及反射谱的计算表明这些硫钒铜矿化合物属于极性共价半导体，具有较高的电荷迁移率和优良的电致变色特性，可应用于高效电致变色器件.     

消光式核壳二聚体传感器的设计与光谱特性分析

根据ITO/Au纳米核壳二聚体粒子在生物医学领域的应用合理性,设计了一种实时检测生物液体的核壳二聚体探针消光式传感器;由偶极子理论推导出输出波长与外界环境折射率关系;利用MATLAB设计ITO/Au纳米核壳二聚体粒子结构;采用软件DDSCAT7.3结合离散偶极近似法,利用二聚体有效半径模拟计算了300~950nm可见光到红外光波段不同核壳比、二聚体间距、以及不同介质折射率的消光光谱;根据传感芯片折射率与偶极共振、耦合八级共振的响应关系得出ITO/Au二聚体的折射率灵敏特性。与传统Ag/Au核壳纳米粒子相比,ITO/Au纳米核壳二聚体结构引入了可作为传感芯片灵敏性自参考参数的耦合八级共振峰,同时ITO/Au二聚体结构的折射率灵敏度可达到419nm/RIU。这些工作及其结果对制作消光式传感器具有重要的意义。     

利用改进的Gamow-like模型研究原子核的α衰变和质子放射性

通过引入离心势和静电屏蔽效应对Gamow-like模型进行了改进，并将其用于α衰变和质子放射性研究，发现改进的Gamow-like模型能更好地符合实验数据。另外，还利用改进的Gamow-like模型预言了16个丰质子核的质子放射性的半衰期以及7个$Z=120$超重核素($^{296-308}120$)α衰变链上原子核的α衰变的半衰期，为将来在大科学装置上合成和鉴别这些新核素提供重要的理论参考。     

Meshless acoustic analysis using a weakly singular Burton-Miller boundary integral formulation

The Burton-Miller boundary integral formulation is solved by a complex variable boundary element-free method (CVBEFM) for the boundary-only meshless analysis of acoustic problems with arbitrary wavenumbers. To regularize both strongly singular and hypersingular integrals and to avoid the computation of the solid angle and its normal derivative, a weakly singular Burton-Miller formulation is derived by considering the normal derivative of the solid angle and adopting the singularity subtraction procedures. To facilitate the implementation of the CVBEFM and the approximation of gradients of the boundary variables, a stabilized complex variable moving least-square approximation is selected in the meshless discretization procedure. The results show the accuracy and efficiency of the present CVBEFM and reveal that the method can produce satisfactory results for all wavenumbers, even for extremely large wavenumbers such as k = 10 000.     

ON THE EXISTENCE OF LOCAL CLASSICAL SOLUTION FOR A CLASS OF ONE-DIMENSIONAL COMPRESSIBLE NON-NEWTONIAN FLUIDS

In this paper, the aim is to establish the local existence of classical solutions for a class of compressible non-Newtonian fluids with vacuum in one-dimensional bounded intervals, under the assumption that the data satisfies a natural compatibility condition. For the results, the initial density does not need to be bounded below away from zero.     

贝叶斯公式及其应用的教学研究

通过贴近生活的例子,引入贝叶斯公式,然后,介绍信用问题和在生产中的索赔问题介绍贝叶斯公式的实际应用,以使在教学中能帮助学生更深入地理解该公式.     

Research and Evaluation on Wear in Power-Shift Steering Transmission Through Oil Spectral Analysis with RKPCA Method

The most common methodology used in element concentration measurement and analyzing of wear particles is Atomic emission (AE) spectroscopy .The present paper presents an evaluation method on wear in po...     

A New 1-D Chain ofγ-Hg3S2Br2Constructed from Hg4S4Squares:Solid-state Synthesis,Structure and Optical Properties

A new metal chalcogenide,γ-Hg₃S₂Br₂(1),has been prepared by moderate-temperature solid-state reaction,and its crystal structure was determined by single-crystal X-ray diffraction analysis.Compound 1 crystallizes in space group Cmmm of orthorhombic system with a=9.1923(18),b=18.2262(5),c=4.6251(7)?,V=774.9(3)?³and Z=4.In the structure,two Hg(1),two Hg(2)and four S(1)atoms form a near square Hg₄S₄,and such squares are linked by Hg(3)atoms nearly linearly coordinated to two S1 atoms of two parallel Hg₄S₄squares to form one-dimensional infinite Hg₆S₄chains along c direction.Optical absorption spectra reveal the presence of sharp optical gap of 2.80 eV for 1.IR spectrum,TGA and electric resistivity have been investigated.     

基于计算机视觉技术的茶叶品质随机森林感官评价方法研究

为弥补茶叶品质感官审评存在的缺陷，利用计算机视觉技术对茶叶品质进行快速无损评价研究。以碧螺春绿茶为对象，依据专家感官审评结果，将茶样分成4个等级；采用中值滤波及拉普拉斯算子对茶样图像进行预处理，并提取预处理后的茶样图像的颜色特征和纹理特征以表征茶叶图像的外形特征，利用随机森林算法对茶叶外形特征属性进行重要性排序；筛选出重要性较大的特征及随机森林算法中最优的决策树棵数建立感官评价模型，并与建立的支持向量机(SVM)模型性能相比较。结果表明：色调均值、色调标准差、绿体均值、平均灰度级、饱和度均值、红体均值、饱和度标准差、亮度均值、一致性等9个特征属性的重要性较大，且与感官审评特征描述结果相一致；当采用优选出的9个重要性较大的特征及决策数棵数为500时，建立的模型性能最优，模型总体判别率为95.75%，Kappa系数为0.933，OOB误差为5%，较SVM模型分别提高了3.5%，0.066，优选的9个重要性较大的图像特征与感官审评特征描述相一致。研究表明：利用随机森林方法筛选出对茶叶外形特征属性贡献最大的少数几个特征建立模型，模型性能就能达到很好的识别效果，模型得到简化，同时模型精度和稳定性都高于其他方法。