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Direct Measurement of Adhesion Energy of Monolayer Graphene As-Grown on Copper and Its Application to Renewable Transfer Process
Abstract
Direct measurement of the adhesion energy of monolayer graphene as-grown on metal substrates is important to better understand its bonding mechanism and control the mechanical release of the graphene from the substrates, but it has not been reported yet. We report the adhesion energy of large-area monolayer graphene synthesized on copper measured by double cantilever beam fracture mechanics testing. The adhesion energy of 0.72 ± 0.07 J m(-2) was found. Knowing the directly measured value, we further demonstrate the etching-free renewable transfer process of monolayer graphene that utilizes the repetition of the mechanical delamination followed by the regrowth of monolayer graphene on a copper substrate.
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Cites
The electronic properties of graphene
Castro Neto, A. H., Guinea, F., Peres, N. M. R., Novoselov, K. S., & Geim, A. K. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.109 · Cited by 24,803
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Fine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084
Ultrastrong adhesion of graphene membranes
Koenig, S. P., Boddeti, N. G., Dunn, M. L., & Bunch, J. S. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.123 · Cited by 1,107
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Two-dimensional flexible nanoelectronics
Akinwande, D., Petrone, N., & Hone, J. (2014) · Nature Communications · doi:10.1038/ncomms6678 · Cited by 1,910
Ultrahigh-mobility graphene devices from chemical vapor deposition on reusable copper
Banszerus, L., Schmitz, M., Engels, S., Dauber, J., Oellers, M., Haupt, F., Watanabe, K., Taniguchi, T., Beschoten, B., & Stampfer, C. (2015) · Science Advances · doi:10.1126/sciadv.1500222 · Cited by 830
Graphene transfer: key for applications
Kang, J., Shin, D., Bae, S., & Hong, B. H. (2012) · Nanoscale · doi:10.1039/c2nr31317k · Cited by 474
Progress and Challenges in Transfer of Large‐Area Graphene Films
Chen, Y., Gong, X., & Gai, J. (2016) · Advanced Science · doi:10.1002/advs.201500343 · Cited by 357
Zheng, H., Zhang, R., Xu, Q., Kong, X., Sun, W., Fu, Y., Wu, M., & Liu, K. (2023) · Materials · doi:10.3390/ma16020622 · Cited by 21
Metadata
- Authors
- Yoon, T., Shin, W. C., Kim, T. Y., Mun, J. H., Kim, T.-S., & Cho, B. J.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-02-22
- Volume
- 12
- Issue
- 3
- Pages
- 1448-1452
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2312640850
- Cited by
- 399
- References
- 5
- FWCI
- 17.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yoon, T., Shin, W. C., Kim, T. Y., Mun, J. H., Kim, T.-S., & Cho, B. J. (2012). Direct Measurement of Adhesion Energy of Monolayer Graphene As-Grown on Copper and Its Application to Renewable Transfer Process. Nano Letters. https://doi.org/10.1021/nl204123h
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