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Retrieving the electronic properties of silicon nanocrystals embedded in a dielectric matrix by low-loss EELS

机译:检索硅的电子性质纳米晶体嵌入在一个绝缘矩阵低损耗鳗鱼

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摘要

In this work we apply low-loss electron energy loss spectroscopy (EELS) to probe the structural and electronic properties of single silicon nanocrystals (NCs) embedded in three different dielectric matrices (SiO2, SiC and Si3N4). A monochromated and aberration corrected transmission electron microscope has been operated at 80 kV to avoid sample damage and to reduce the impact of radiative losses. We present a novel approach to disentangle the electronic features corresponding to pure Si-NCs from the surrounding dielectric material contribution through an appropriate computational treatment of hyperspectral data-sets. First, the different material phases have been identified by measuring the plasmon energy. Due to the overlapping of Si-NCs and dielectric matrix information, the variable shape and position of mixed plasmonic features increases the difficulty of non-linear fitting methods to identify and separate the components in the EELS signal. We have managed to solve this problem for silicon oxide and nitride systems by applying multivariate analysis methods that can factorize the hyperspectral datacubes in selected regions. By doing so, the EELS spectra are re-expressed as a function of abundance of Si-NC-like and dielectric-like factors. EELS contributions from the embedded nanoparticles as well as their dielectric surroundings are thus studied in a new light, and compared with the dielectric material and crystalline silicon from the substrate. Electronic properties such as band gaps and plasmon shifts can be obtained by a straightforward examination. Finally, we have calculated the complex dielectric functions and the related electron effective mass and density of valence electrons.
机译:在这个工作我们应用低损耗电子能量损失能谱法(鳗鱼)探测器的结构单硅和电子性质纳米晶体(nc)嵌入在三个不同的电介质矩阵(二氧化硅、碳化硅和氮化硅)。全色盲者和畸变纠正透射电子显微镜在避免样品损失和80千伏减少辐射的影响损失。一个新颖的方法来解决电子相应的纯Si-NCs特性周围介质材料的贡献通过一个适当的计算处理高光谱数据集。已确定通过测量材料阶段等离子体的能量。Si-NCs和电介质矩阵信息,变量的形状和位置的混合电浆的非线性特性增加了困难拟合的方法来识别和分离组件在鳗鱼的信号。对氮化硅氧化物和解决这个问题系统通过应用多元分析方法的高光谱datacubes因式分解选定的区域。重新作为丰富的函数吗Si-NC-like和dielectric-like因素。贡献从嵌入纳米颗粒因此介电环境研究在一个新的光,相比介电材料和晶体硅底物。差距和等离子体可以通过转变简单的检查。复介电函数和计算相关的电子有效质量和密度的价电子。

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