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Thickness identification of two-dimensional materials by optical imaging

机译:通过光学成像识别二维材料的厚度

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摘要

Two-dimensional materials, e.g. graphene and molybdenum disulfide (MoS _2), have attracted great interest in recent years. Identification of the thickness of two-dimensional materials will improve our understanding of their thickness-dependent properties, and also help with scientific research and applications. In this paper, we propose to use optical imaging as a simple, quantitative and universal way to identify the thickness of two-dimensional materials, i.e. mechanically exfoliated graphene, nitrogen-doped chemical vapor deposition grown graphene, graphene oxide and mechanically exfoliated MoS _2. The contrast value can easily be obtained by reading the red (R), green (G) and blue (B) values at each pixel of the optical images of the sample and substrate, and this value increases linearly with sample thickness, in agreement with our calculation based on the Fresnel equation. This method is fast, easily performed and no expensive equipment is needed, which will be an important factor for large-scale sample production. The identification of the thickness of two-dimensional materials will greatly help in fundamental research and future applications.
机译:二维材料,例如近年来,石墨烯和二硫化钼(MoS _2)引起了极大的兴趣。识别二维材料的厚度将提高我们对它们的厚度相关特性的理解,并有助于科学研究和应用。在本文中,我们建议使用光学成像作为简单,定量和通用的方式来识别二维材料的厚度,即机械剥离的石墨烯,氮掺杂化学气相沉积生长的石墨烯,氧化石墨烯和机械剥离的MoS _2。可以通过读取样品和基材光学图像每个像素上的红色(R),绿色(G)和蓝色(B)值轻松获得对比度值,并且该值随样品厚度线性增加,与我们基于菲涅耳方程的计算。该方法快速,容易执行且不需要昂贵的设备,这将是大规模样品生产的重要因素。二维材料厚度的确定将大大有助于基础研究和未来的应用。

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