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Macroscale superlubricity enabled by graphene nanoscroll formation
Abstract
Slip sliding away: Many applications would benefit from ultralow friction conditions to minimize wear on the moving parts such as in hard drives or engines. On the very small scale, ultralow friction has been observed with graphite as a lubricant. Berman et al. achieved superlubricity using graphene in combination with crystalline diamond nanoparticles and diamondlike carbon (see the Perspective by Hone and Carpick). Simulations showed that sliding of the graphene patches around the tiny nanodiamond particles led to nanoscrolls with reduced contact area that slide easily against the amorphous diamondlike carbon surface. Science , this issue p. 1118 ; see also p. 1087
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Cites
Fast Parallel Algorithms for Short-Range Molecular Dynamics
Plimpton, S. (1995) · Journal of Computational Physics · doi:10.1006/jcph.1995.1039 · Cited by 44,721
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
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Modeling and simulation in tribology across scales: An overview
Vakis, A. I., Yastrebov, V. A., Scheibert, J., Nicola, L., Dini, D., Minfray, C., Almqvist, A., Paggi, M., Lee, S., Limbert, G., et al. (2018) · Tribology International · doi:10.1016/j.triboint.2018.02.005 · Cited by 580
Zeng, M., Xiao, Y., Liu, J., Yang, K., & Fu, L. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00633 · Cited by 574
Tribology of two-dimensional materials: From mechanisms to modulating strategies
Zhang, S., Ma, T., Erdemir, A., & Li, Q. (2019) · Materials Today · doi:10.1016/j.mattod.2018.12.002 · Cited by 407
Self-citationMultifunctionality and Mechanical Actuation of 2D Materials for Skin‐Mimicking Capabilities
Chang, T., Li, K., Yang, H., & Chen, P. (2018) · Advanced Materials · doi:10.1002/adma.201802418 · Cited by 94
Metadata
- Authors
- Berman, D., Deshmukh, S. A., Sankaranarayanan, S. K. R. S., Erdemir, A., & Sumant, A. V.
- Venue
- Science
- Published
- 2015-06-05
- Volume
- 348
- Issue
- 6239
- Pages
- 1118-1122
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1798922910
- Cited by
- 943
- References
- 2
- FWCI
- 31.08
- 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. (2015). Macroscale superlubricity enabled by graphene nanoscroll formation. Science. https://doi.org/10.1126/science.1262024
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