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Washboard belt-like zinc selenide (ZnSe) nanostructures are successfully prepared by a simple chemical vapor deposi- tion (CVD) technology without catalyst. The phase compositions, morphologies and optical properties of the nanos- tructures are investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmis- sion electron microscopy (HRTEM) and photoluminescence (PL) spectroscop, respectively. A vapor-liquid mecha- nism is proposed for the formation of ZnSe belt-like structures. Strong PL from the ZnSe nanostructure can be tuned from 462 nm to 440 nm with temperature varying from 1000 ℃ to 1200 ℃, and it is demonstrated that the washboard belt-like ZnSe nanostructures have potential applications in optical and sensory nanotechnology. This method is ex- pected to be applied to the synthesis of other II-VI groups or other group's semiconducting materials. 相似文献
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C Builder 6应用程序与Microsoft Office 2000集成的原理并结合实例介结了一种设计简单、使用方便的办法,重点介绍了如何将C Builder 6.0的数据集DATASET的数据传送至Word文档和Excel工作表。 相似文献
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Fluorescent porous silicon was prepared as a stable biosensor chip substrate. The aminopropyltriethoxysilane (APTES) molecules are attached in the pores of the porous silicon with a crosslink method, and when the molecules are added into the chip, the fluorescence intensity is reduced according to the concentration of the APTES. Controlled experiments are also presented with the small molecule that cannot be covalently coupled, and the results show that this kind of sensor chip has better specificity. Compared with other conventional methods, this method is simple, quick and label-free. 相似文献
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本文以微波负载单支节匹配和时域反射仪为例,以同轴线为传输线,建立几何模型,用软件数值仿真,分别从频域和时域研究同轴线传输特性参数,目的是借助仿真软件理解微波传输物理量在频域和时域中不同的表现形式,用可视化的仿真结果帮助理解物理内涵,同时把仿真软件结合实际应用,以此提高学生在电磁场和微波技术中工程应用方面的能力。 相似文献
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为了实现胡萝卜汁品牌的快速无损鉴别,文章以市售两种品牌的胡萝卜汁为研究对象,通过采集拉曼光谱,并结合支持向量机算法,建立了快速判断胡萝卜汁品牌的分类模型。两种品牌的胡萝卜汁光谱主要在1007 cm^-1,1157 cm^-1,1516 cm^-1这3个谱峰存在差异。先对拉曼光谱进行预处理,再选用蚁群优化算法进行特征选择,最后结合SVM构建分类模型。结果显示,相比SVM直接分类,模型ACO-SVM的最优分类准确率为96.67%,提高了2.5%;其分类时间为7.17 s,缩短了163.31 s。研究表明,基于拉曼光谱分析技术和模式识别算法构建的分类模型能够有效地鉴别胡萝卜汁品牌。 相似文献
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High-density CdS hollow nanospheres are successfully synthesized by a simple chemical vapor deposition technology.The crystal structure,compositional information,and morphological structure are characterized by X-ray diffraction(XRD),scanning electronic microscopy(SEM),transmission electronic microscopy(TEM),and energy-dispersive X-ray spectrometer(EDX).The results show that the as-prepared CdS hollow nanospheres have uniform size about 1-3 μm in diameter.The Kirkendall phenomenon is proposed for the formation of the CdS nanostructures.A strong emission located at 580 nm is observed. 相似文献