种子法制备三角形银纳米粒子及其性能表征

 以十六烷基三甲基溴化胺(CTAB)为软模板剂，采用种子法制备出三角形银纳米粒子，应用透射电镜、能量散射X射线谱仪、紫外 可见分光光度计研究了粒子的性能。结果表明：所得三角形银纳米粒子是面心立方单晶，边长随着种子加入量的减少而递增，可在20～100 nm范围内调节；CTAB以薄膜形式包覆于粒子表面阻止其氧化，粒子胶体的吸收光谱呈现典型的三角形粒子吸收峰。用扫描电镜观测到粒子在硅片上自组装成一定的2维阵列结构。     

HT-7U装置极向场电源变流系统的研制

介绍了HT-7U极向场电源中所使用的变流系统,提出了一种新的四象限运行控制方法,解决了极向场电源设计和制造的难点。实现了15kA的有环流运行。     

电力安全与超导磁储能系统

随着我国大规模电力系统的逐步形成，电网的安全稳定问题日渐突出，保证电力系统的安全稳定运行已经成为电网发展和运行的重要任务．超导磁储能系统以其对系统功率需求的快速响应特性可以为提高电力系统的稳定性提供新的技术途径，同时对改善电能质量、提高可靠性也有很好的技术优势．本文在简要论证电力安全的重要性的基础上，对SMES提高系统的安全稳定性的优越性进行了分析，并介绍了国家863计划项目“高温超导磁储能系统”的工作进展．     

液体表面张力系数测试仪的研制

介绍一种测定液体表面张力的自制简易装置,可以测量不同物质、不同浓度液体的表面张力系数。仪器制作取材方便,安装调试简单,尤其是改进了常规液膜"拉脱"方法(焦利秤、扭秤和螺旋升降台),使得自组表面张力系数测试仪精度高,稳定性好。     

LaAlO3/SrTiO3界面的电子结构及光学性质的第一性原理研究

采用基于密度泛函理论框架下的第一性原理平面波超软赝势方法,结合局域密度近似(LDA)研究了钙钛矿结构氧化物LaAlO3/SrTiO3界面的电子结构及光学性质.能带结构分析表明当形成(AlO2)-/(TiO2)0界面时其禁带宽度为1.888 eV,呈现绝缘体的性质,当形成(LaO)+/(SrO)0界面时其禁带宽度为0.021eV,呈现半导体或半金属性质.同时,对不同界面的光学性质也进行了研究,结果表明纯相的LaAlO3和SrTiO3的吸收系数、反射系数及能量损失谱强度明显高于由这两种单质形成不同界面的强度.     

水中矩形板的共振声辐射

研究共振声辐射理论(Resonance Radiation Theory:RRT)在水中矩形板的应用。导出了矩形板的共振声辐射公式、并数值验证了其适用性。深入分析了有流体负荷矩形板的复共振频率的物理意义及其与导纳留数、模态辐射率的关系,复共振频率的实部表示实际共振频率,虚部反映模态辐射能力。根据复共振频率容易找到辐射能力相对较强的模态,为有针对性控制声辐射提供了新的思路。鉴于复平面搜根求解模态复共振频率的困难,针对矩形板的特点提出了一种求解复共振频率及留数的快速方法。结合该方法及RRT,提出了一种快速计算辐射声功率的方法,数值验证表明该方法精度高、速度快。     

风速测量实验的设计与探究

基于电磁理论和空气动力学的相关知识,利用磁铁、金属棒和DISLAB传感器等器件设计并制作了风速测量系统,可准确地测量2-11级范围内的风速值.该装置还可作为演示电磁感应现象的设计型实验内容,实验过程中可加深学生对电磁感应现象的理解,并提高学生对matlab软件的应用能力.     

丽江玛咖的营养成分分析及多糖体外的抗氧化作用

对丽江种植区玛咖（Lepidium meyenii Walp）的营养成分进行分析,其含有丰富的蛋白质、碳水化合物、矿物质、维生素、脂肪酸和氨基酸等,并通过试验证明玛咖多糖体外具有一定的抗氧化保健作用,为丽江玛咖成功引种和进一步的研究开发提供依据.     

Influence of structural defects on the optical properties of strongly coupled Au nanoshell arrays

The effects of different defects on optical properties and plasmon resonances properties of Au nanoshell arrays were investigated by using the finite-difference time-domain(FDTD) theory.It is found that the optical properties of the nanoshell arrays are strongly influenced by different defects.We show that when the hollow Au nanoshell arrays are placed in air,there is a wide photonic band gap(PBG) in the infrared region,but the band gap becomes narrower as we introduced different defects.Based on the distributions of electric field component E z and the total energy distribution of the electric and the magnetic field,we show that there exhibit dipoles field distributions for the plasmon mode at the long-wavelength edge of the band gap,but composite higher order modes are excited at the short-wavelength edge of the band gap.The plasmon resonant modes also can be controlled by introducing defects.     

Accelerated steered response power method for sound source localization via clustering search

The steered response power-phase transform (SRP-PHAT) sound source localization algorithm is robust in a real environment. However, the large computation complexity limits the practical application of SRP-PHAT. For a microphone array, each location corresponds to a set of time differences of arrival (TDOAs), and this paper collects them into a TDOA vector. Since the TDOA vectors in the adjacent regions are similar, we present a fast algorithm based on clustering search to reduce the computation complexity of SRP-PHAT. In the training stage, the K-means or Iterative Self-Organizing Data Analysis Technique (ISODATA) clustering algorithm is used to find the centroid in each cluster with similar TDOA vectors. In the procedure of sound localization, the optimal cluster is found by comparing the steered response powers (SRPs) of all centroids. The SRPs of all candidate locations in the optimal cluster are compared to localize the sound source. Experiments both in simulation environments and real environments have been performed to compare the localization accuracy and computational load of the proposed method with those of the conventional SRP-PHAT algorithm. The results show that the proposed method is able to reduce the computational load drastically and maintains almost the same localization accuracy and robustness as those of the conventional SRP-PHAT algorithm. The difference in localization performance brought by different clustering algorithms used in the training stage is trivial.