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The deviation of growth model for transparent conductive graphene

An approximate growth model was employed to predict the time required to grow a graphene film by chemical vapor deposition (CVD). Monolayer graphene films were synthesized on Cu foil at various hydrogen flow rates from 10 to 50 sccm. The sheet resistance of the graphene film was 310Ω/□ and the optic...

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Detalles Bibliográficos
Autores principales: Chan, Shih-Hao, Chen, Jia-Wei, Chen, Hung-Pin, Wei, Hung-Sen, Li, Meng-Chi, Chen, Sheng-Hui, Lee, Cheng-Chung, Kuo, Chien-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214604/
https://www.ncbi.nlm.nih.gov/pubmed/25364316
http://dx.doi.org/10.1186/1556-276X-9-581
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author Chan, Shih-Hao
Chen, Jia-Wei
Chen, Hung-Pin
Wei, Hung-Sen
Li, Meng-Chi
Chen, Sheng-Hui
Lee, Cheng-Chung
Kuo, Chien-Cheng
author_facet Chan, Shih-Hao
Chen, Jia-Wei
Chen, Hung-Pin
Wei, Hung-Sen
Li, Meng-Chi
Chen, Sheng-Hui
Lee, Cheng-Chung
Kuo, Chien-Cheng
author_sort Chan, Shih-Hao
collection PubMed
description An approximate growth model was employed to predict the time required to grow a graphene film by chemical vapor deposition (CVD). Monolayer graphene films were synthesized on Cu foil at various hydrogen flow rates from 10 to 50 sccm. The sheet resistance of the graphene film was 310Ω/□ and the optical transmittance was 97.7%. The Raman intensity ratio of the G-peak to the 2D peak of the graphene film was as high as ~4 when the hydrogen flow rate was 30 sccm. The fitting curve obtained by the deviation equation of growth model closely matches the data. We believe that under the same conditions and with the same setup, the presented growth model can help manufacturers and academics to predict graphene growth time more accurately.
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spelling pubmed-42146042014-10-31 The deviation of growth model for transparent conductive graphene Chan, Shih-Hao Chen, Jia-Wei Chen, Hung-Pin Wei, Hung-Sen Li, Meng-Chi Chen, Sheng-Hui Lee, Cheng-Chung Kuo, Chien-Cheng Nanoscale Res Lett Nano Express An approximate growth model was employed to predict the time required to grow a graphene film by chemical vapor deposition (CVD). Monolayer graphene films were synthesized on Cu foil at various hydrogen flow rates from 10 to 50 sccm. The sheet resistance of the graphene film was 310Ω/□ and the optical transmittance was 97.7%. The Raman intensity ratio of the G-peak to the 2D peak of the graphene film was as high as ~4 when the hydrogen flow rate was 30 sccm. The fitting curve obtained by the deviation equation of growth model closely matches the data. We believe that under the same conditions and with the same setup, the presented growth model can help manufacturers and academics to predict graphene growth time more accurately. Springer 2014-10-20 /pmc/articles/PMC4214604/ /pubmed/25364316 http://dx.doi.org/10.1186/1556-276X-9-581 Text en Copyright © 2014 Chan et al.; licensee Springer. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Nano Express
Chan, Shih-Hao
Chen, Jia-Wei
Chen, Hung-Pin
Wei, Hung-Sen
Li, Meng-Chi
Chen, Sheng-Hui
Lee, Cheng-Chung
Kuo, Chien-Cheng
The deviation of growth model for transparent conductive graphene
title The deviation of growth model for transparent conductive graphene
title_full The deviation of growth model for transparent conductive graphene
title_fullStr The deviation of growth model for transparent conductive graphene
title_full_unstemmed The deviation of growth model for transparent conductive graphene
title_short The deviation of growth model for transparent conductive graphene
title_sort deviation of growth model for transparent conductive graphene
topic Nano Express
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214604/
https://www.ncbi.nlm.nih.gov/pubmed/25364316
http://dx.doi.org/10.1186/1556-276X-9-581
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