Document Detail


Thickness identification of two-dimensional materials by optical imaging.
MedLine Citation:
PMID:  23154446     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Ying Ying Wang; Ren Xi Gao; Zhen Hua Ni; Hui He; Shu Peng Guo; Huan Ping Yang; Chun Xiao Cong; Ting Yu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-16
Journal Detail:
Title:  Nanotechnology     Volume:  23     ISSN:  1361-6528     ISO Abbreviation:  Nanotechnology     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101241272     Medline TA:  Nanotechnology     Country:  -    
Other Details:
Languages:  ENG     Pagination:  495713     Citation Subset:  -    
Affiliation:
Department of Optoelectronic Science, Harbin Institute of Technology at Weihai, Weihai 264209, People's Republic of China.
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