Thickness identification of two-dimensional materials by optical imaging

Two-dimensional materials, e.g. graphene and molybdenum disulfide (MoS2), 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 app...

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Main Authors: Wang, Yingying, Gao, Ren Xi, Ni, Zhen Hua, He, Hui, Guo, Shu Peng, Yang, Huanping, Cong, Chunxiao, Yu, Ting
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/97501
http://hdl.handle.net/10220/10678
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-975012020-03-07T12:34:44Z Thickness identification of two-dimensional materials by optical imaging Wang, Yingying Gao, Ren Xi Ni, Zhen Hua He, Hui Guo, Shu Peng Yang, Huanping Cong, Chunxiao Yu, Ting School of Physical and Mathematical Sciences Two-dimensional materials, e.g. graphene and molybdenum disulfide (MoS2), 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 MoS2. 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. 2013-06-26T01:50:33Z 2019-12-06T19:43:22Z 2013-06-26T01:50:33Z 2019-12-06T19:43:22Z 2012 2012 Journal Article Wang, Y. Y., Gao, R. X., Ni, Z. H., He, H., Guo, S. P., Yang, H. P., et al. (2012). Thickness identification of two-dimensional materials by optical imaging. Nanotechnology, 23(49). 0957-4484 https://hdl.handle.net/10356/97501 http://hdl.handle.net/10220/10678 10.1088/0957-4484/23/49/495713 en Nanotechnology © 2012 IOP Publishing Ltd.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description Two-dimensional materials, e.g. graphene and molybdenum disulfide (MoS2), 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 MoS2. 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.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Wang, Yingying
Gao, Ren Xi
Ni, Zhen Hua
He, Hui
Guo, Shu Peng
Yang, Huanping
Cong, Chunxiao
Yu, Ting
format Article
author Wang, Yingying
Gao, Ren Xi
Ni, Zhen Hua
He, Hui
Guo, Shu Peng
Yang, Huanping
Cong, Chunxiao
Yu, Ting
spellingShingle Wang, Yingying
Gao, Ren Xi
Ni, Zhen Hua
He, Hui
Guo, Shu Peng
Yang, Huanping
Cong, Chunxiao
Yu, Ting
Thickness identification of two-dimensional materials by optical imaging
author_sort Wang, Yingying
title Thickness identification of two-dimensional materials by optical imaging
title_short Thickness identification of two-dimensional materials by optical imaging
title_full Thickness identification of two-dimensional materials by optical imaging
title_fullStr Thickness identification of two-dimensional materials by optical imaging
title_full_unstemmed Thickness identification of two-dimensional materials by optical imaging
title_sort thickness identification of two-dimensional materials by optical imaging
publishDate 2013
url https://hdl.handle.net/10356/97501
http://hdl.handle.net/10220/10678
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