The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Extraordinary Macroscale Wear Resistance of One Atom Thick Graphene Layer
Abstract
During the last few years, graphene's unusual friction and wear properties have been demonstrated at nano to micro scales but its industrial tribological potential has not been fully realized. The macroscopic wear resistance of one atom thick graphene coating is reported by subjecting it to pin‐on‐disc type wear testing against most commonly used steel against steel tribo‐pair. It is shown that when tested in hydrogen, a single layer of graphene on steel can last for 6400 sliding cycles, while few‐layer graphene (3–4 layers) lasts for 47 000 cycles. Furthermore, these graphene layers are shown to completely cease wear despite the severe sliding conditions including high contact pressures (≈0.5 GPa) observed typically in macroscale wear tests. The computational simulations show that the extraordinary wear performance originates from hydrogen passivation of the dangling bonds in a ruptured graphene, leading to significant stability and longer lifetime of the graphene protection layer. Also, the electronic properties of these graphene sheets are theoretically evaluated and the improved wear resistance is demonstrated to preserve the electronic properties of graphene and to have significant potential for flexible electronics. The findings demonstrate that tuning the atomistic scale chemical interactions holds the promise of realizing extraordinary tribological properties of monolayer graphene coatings.
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Cites
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene
Lee, C., Wei, X., Kysar, J. W., & Hone, J. (2008) · Science · doi:10.1126/science.1157996 · Cited by 20,847
Opportunities and challenges for a sustainable energy future
Chu, S., & Majumdar, A. (2012) · Nature · doi:10.1038/nature11475 · Cited by 12,550
Large-scale pattern growth of graphene films for stretchable transparent electrodes
Kim, K. S., Zhao, Y., Jang, H., Lee, S. Y., Kim, J. M., Kim, K. S., Ahn, J.-H., Kim, P., Choi, J.-Y., & Hong, B. H. (2009) · Nature · doi:10.1038/nature07719 · Cited by 10,452
Ferrari, A. C. (2007) · Solid State Communications · doi:10.1016/j.ssc.2007.03.052 · Cited by 7,606
ReaxFF: A Reactive Force Field for Hydrocarbons
van Duin, A. C. T., Dasgupta, S., Lorant, F., & Goddard, W. A. (2001) · The Journal of Physical Chemistry A · doi:10.1021/jp004368u · Cited by 6,402
Raman spectroscopy of amorphous, nanostructured, diamond–like carbon, and nanodiamond
Ferrari, A. C., & Robertson, J. (2004) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2004.1452 · Cited by 2,689
Probing the Nature of Defects in Graphene by Raman Spectroscopy
Eckmann, A., Felten, A., Mishchenko, A., Britnell, L., Krupke, R., Novoselov, K. S., & Casiraghi, C. (2012) · Nano Letters · doi:10.1021/nl300901a · Cited by 2,319
Frictional Characteristics of Atomically Thin Sheets
Lee, C., Li, Q., Kalb, W., Liu, X.-Z., Berger, H., Carpick, R. W., & Hone, J. (2010) · Science · doi:10.1126/science.1184167 · Cited by 1,811
Evolution of Graphene Growth on Ni and Cu by Carbon Isotope Labeling
Li, X., Cai, W., Colombo, L., & Ruoff, R. S. (2009) · Nano Letters · doi:10.1021/nl902515k · Cited by 1,604
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Carbon nanomaterials in tribology
Zhai, W., Srikanth, N., Kong, L. B., & Zhou, K. (2017) · Carbon · doi:10.1016/j.carbon.2017.04.027 · Cited by 470
Graphene based nanofluids and nanolubricants – Review of recent developments
Rasheed, A. K., Khalid, M., Rashmi, W., Gupta, T. C. S. M., & Chan, A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.04.072 · Cited by 265
ReaxFF Parameter Optimization with Monte-Carlo and Evolutionary Algorithms: Guidelines and Insights
Shchygol, G., Yakovlev, A., Trnka, T., van Duin, A. C. T., & Verstraelen, T. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00769 · Cited by 85
Metadata
- Authors
- Berman, D., Deshmukh, S. A., Sankaranarayanan, S. K. R. S., Erdemir, A., & Sumant, A. V.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2014-08-26
- Volume
- 24
- Issue
- 42
- Pages
- 6640-6646
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2137541525
- Cited by
- 309
- References
- 26
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Berman, D., Deshmukh, S. A., Sankaranarayanan, S. K. R. S., Erdemir, A., & Sumant, A. V. (2014). Extraordinary Macroscale Wear Resistance of One Atom Thick Graphene Layer. Advanced Functional Materials. https://doi.org/10.1002/adfm.201401755
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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