二維材料的定量電子衍射及電子顯微鏡中的自動(dòng)化數(shù)據(jù)處理
[Abstract]:Nano-science has made great achievements since it was put forward in the last century, which can not be separated from the development of electron microscope technology. In recent years, two-dimensional materials have been widely concerned by researchers because of their novel physical properties. In this paper, two parts of work have been completed by using two-dimensional materials as a breakthrough point and focusing on quantitative electron microscopy (QEM). The first part: layer thickness has an important influence on the physical properties of two-dimensional materials, especially for two-dimensional materials with single atomic layer thickness. We propose a method of quantitative electron diffraction. The uniatomic layer thickness of rhenium diselenide and its crystallographic orientation in the vertical direction are determined, which also has an important effect on the characterization of anisotropic devices. Part two: atomic resolution electron microscopy images can provide microcosmic information on atomic scale, but lack statistical information on relative macro scale, in order to efficiently and accurately analyze the information on these two different scales. We have developed a set of image processing programs. Based on the tools in data science, we have realized the automatic statistics of the atomic distribution in the atom-level resolution image. Finally, we have obtained the information of the atomic local crystallographic environment. Compared with hexagonal materials such as graphene, hexagonal boron nitride and molybdenum disulfide, the application of low symmetry two-dimensional materials in anisotropic devices shows great potential. The bulk rhenium diselenide belongs to the space group P _ 1, which is a distorted structure of cadmium iodide, that is, a low symmetry triclinic crystal system. A method based on quantitative electron diffraction is proposed to distinguish the monolayer and multilayer of rhenium diselenide, and two different vertical orientations of monolayer are also determined. Based on our principle, the method can also be applied to other low symmetry crystal systems, including triclinic and monoclinic systems, as long as they satisfy the third basis vector of the unit cell and are not perpendicular to their base plane. From the experimental results, the theory of kinematic electron diffraction and the inference of multilayer simulation are well confirmed. Finally, we discuss the extension of this method to other two-dimensional materials, such as graphene. With the development of electron microscope imaging technology and the improvement of resolution, the acquisition of atomic scale structure and function data is becoming more and more common. These data provide us with a wealth of information, such as high-dimensional spectroscopic data used in functional representations and information on atomic positions, types, arrangements in structural representations, in order to analyze these complex and massive data. Data science will play a more and more important role in experimental data analysis. Atomic resolved scanning transmission electron microscopy (SEM) directly reflects the atomic structure information of two-dimensional materials and is especially suitable for characterization of doped transition metal sulfur compounds in order to extract information efficiently from images. We have developed a set of image processing programs to determine the position and category of atoms in alloyed two-dimensional materials, and on this basis to analyze the local environment of atoms and to calculate the alloying degree.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TB383.1
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