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Quantitatively estimating defects in graphene devices using discharge current analysis method

Defects of graphene are the most important concern for the successful applications of graphene since they affect device performance significantly. However, once the graphene is integrated in the device structures, the quality of graphene and surrounding environment could only be assessed using indir...

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Autores principales: Jung, Ukjin, Lee, Young Gon, Kang, Chang Goo, Lee, Sangchul, Kim, Jin Ju, Hwang, Hyeon June, Lim, Sung Kwan, Ham, Moon-Ho, Lee, Byoung Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013935/
https://www.ncbi.nlm.nih.gov/pubmed/24811431
http://dx.doi.org/10.1038/srep04886
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author Jung, Ukjin
Lee, Young Gon
Kang, Chang Goo
Lee, Sangchul
Kim, Jin Ju
Hwang, Hyeon June
Lim, Sung Kwan
Ham, Moon-Ho
Lee, Byoung Hun
author_facet Jung, Ukjin
Lee, Young Gon
Kang, Chang Goo
Lee, Sangchul
Kim, Jin Ju
Hwang, Hyeon June
Lim, Sung Kwan
Ham, Moon-Ho
Lee, Byoung Hun
author_sort Jung, Ukjin
collection PubMed
description Defects of graphene are the most important concern for the successful applications of graphene since they affect device performance significantly. However, once the graphene is integrated in the device structures, the quality of graphene and surrounding environment could only be assessed using indirect information such as hysteresis, mobility and drive current. Here we develop a discharge current analysis method to measure the quality of graphene integrated in a field effect transistor structure by analyzing the discharge current and examine its validity using various device structures. The density of charging sites affecting the performance of graphene field effect transistor obtained using the discharge current analysis method was on the order of 10(14)/cm(2), which closely correlates with the intensity ratio of the D to G bands in Raman spectroscopy. The graphene FETs fabricated on poly(ethylene naphthalate) (PEN) are found to have a lower density of charging sites than those on SiO(2)/Si substrate, mainly due to reduced interfacial interaction between the graphene and the PEN. This method can be an indispensable means to improve the stability of devices using a graphene as it provides an accurate and quantitative way to define the quality of graphene after the device fabrication.
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spelling pubmed-40139352014-05-13 Quantitatively estimating defects in graphene devices using discharge current analysis method Jung, Ukjin Lee, Young Gon Kang, Chang Goo Lee, Sangchul Kim, Jin Ju Hwang, Hyeon June Lim, Sung Kwan Ham, Moon-Ho Lee, Byoung Hun Sci Rep Article Defects of graphene are the most important concern for the successful applications of graphene since they affect device performance significantly. However, once the graphene is integrated in the device structures, the quality of graphene and surrounding environment could only be assessed using indirect information such as hysteresis, mobility and drive current. Here we develop a discharge current analysis method to measure the quality of graphene integrated in a field effect transistor structure by analyzing the discharge current and examine its validity using various device structures. The density of charging sites affecting the performance of graphene field effect transistor obtained using the discharge current analysis method was on the order of 10(14)/cm(2), which closely correlates with the intensity ratio of the D to G bands in Raman spectroscopy. The graphene FETs fabricated on poly(ethylene naphthalate) (PEN) are found to have a lower density of charging sites than those on SiO(2)/Si substrate, mainly due to reduced interfacial interaction between the graphene and the PEN. This method can be an indispensable means to improve the stability of devices using a graphene as it provides an accurate and quantitative way to define the quality of graphene after the device fabrication. Nature Publishing Group 2014-05-08 /pmc/articles/PMC4013935/ /pubmed/24811431 http://dx.doi.org/10.1038/srep04886 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Jung, Ukjin
Lee, Young Gon
Kang, Chang Goo
Lee, Sangchul
Kim, Jin Ju
Hwang, Hyeon June
Lim, Sung Kwan
Ham, Moon-Ho
Lee, Byoung Hun
Quantitatively estimating defects in graphene devices using discharge current analysis method
title Quantitatively estimating defects in graphene devices using discharge current analysis method
title_full Quantitatively estimating defects in graphene devices using discharge current analysis method
title_fullStr Quantitatively estimating defects in graphene devices using discharge current analysis method
title_full_unstemmed Quantitatively estimating defects in graphene devices using discharge current analysis method
title_short Quantitatively estimating defects in graphene devices using discharge current analysis method
title_sort quantitatively estimating defects in graphene devices using discharge current analysis method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013935/
https://www.ncbi.nlm.nih.gov/pubmed/24811431
http://dx.doi.org/10.1038/srep04886
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