论文标题

分层材料的广泛视野晶体取向映射

Wide field of view crystal orientation mapping of layered materials

论文作者

Orekhov, A., Jannis, D., Gauquelin, N., Guzzinati, G., Mehta, A. Nalin, Psilodimitrakopoulos, S., Mouchliadis, L., Sahoo, P. K., Paradisanos, I., Ferrari, A. C., Kioseoglou, G., Stratakis, E., Verbeeck, J.

论文摘要

分层材料(LMS)是由于它们在各种应用中的潜在使用而成为不断增加的研究工作的中心。对于大多数(OPTO)电子应用,瑕疵的存在,例如双层或多层区域,孔,晶界,各向同性和各向异性变形等是有害的。在这里,我们提出了一个能够将常规扫描电子显微镜转换为一种工具的设置,用于对广泛的LMS进行结构分析。样品下方的混合像素电子检测器使得可以在样品表面上的每个探针位置(2D),在传输模式下记录二维(2D)衍射模式,从而执行2D+2D = 4D茎(扫描透射透射电子显微镜)分析。这提供了一个高达2 mm2的视野,同时在NM范围内提供空间分辨率,从而可以收集有关晶粒尺寸,相对取向角,双层堆叠,应变等的统计数据,这些数据可以通过自动开放式开源数据分析软件进行开采。我们通过分析各种LMS,例如单层和多层石墨烯,氧化石墨烯和MOS2来证明这种方法,该方法表明了这种方法以NM至MM尺度的数十至MM尺度表征它们的能力。这个广泛的视野范围和由此产生的统计信息是LMS大规模应用的关键。

Layered materials (LMs) are at the centre of an ever increasing research effort due to their potential use in a variety of applications. The presence of imperfections, such as bi- or multilayer areas, holes, grain boundaries, isotropic and anisotropic deformations, etc. are detrimental for most (opto)electronic applications. Here, we present a set-up able to transform a conventional scanning electron microscope into a tool for structural analysis of a wide range of LMs. An hybrid pixel electron detector below the sample makes it possible to record two dimensional (2d) diffraction patterns for every probe position on the sample surface (2d), in transmission mode, thus performing a 2d+2d=4d STEM (scanning transmission electron microscopy) analysis. This offers a field of view up to 2 mm2, while providing spatial resolution in the nm range, enabling the collection of statistical data on grain size, relative orientation angle, bilayer stacking, strain, etc. which can be mined through automated open-source data analysis software. We demonstrate this approach by analyzing a variety of LMs, such as mono- and multi-layer graphene, graphene oxide and MoS2, showing the ability of this method to characterize them in the tens of nm to mm scale. This wide field of view range and the resulting statistical information are key for large scale applications of LMs.

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