Title: Ultra-Hard Diamene Films on Silicon Carbide for Mechanical Applications

Authors: Filippo Cellini, Francesco Lavini, and Elisa Riedo

DOI: 10.33599/nasampe/s.19.1494

Abstract: Similarly to graphite, atomically thin graphene films are known to be extremely flexible, exhibit a large in-plane stiffness (~1TPa), and be quite soft in the direction perpendicular to the graphene layers (~30 GPa). However, contrary to expectations, we found that at room temperature under pressure an epitaxial graphene film composed of buffer layer plus one graphene layer on SiC(0001) behaves at the nanoscale as a diamond-hard coating, which we named diamene. This ultra-thin and ultra-hard film exhibits exceptional mechanical responses to nano-indentation, equal, or even superior, to those of a CVD diamond film. Here, we review recent advancements in the study of diamene films, towards implementation of diamene coatings in current state-of-the-art mechanical technologies.

References: 1. Mas-Balleste, R., et al., 2D materials: to graphene and beyond. Nanoscale, 2011. 3(1): p. 20-30. 2. Akinwande, D., et al., A review on mechanics and mechanical properties of 2D materials—Graphene and beyond. Extreme Mechanics Letters,, 2017. 13: p. 42-77. 3. Palaci, I., et al., Radial elasticity of multiwalled carbon nanotubes. Physical Review Letters, 2005. 94(17). 4. Lucas, M., et al., Aspect ratio dependence of the elastic properties of ZnO nanobelts. Nano letters, 2007. 7(5): p. 1314-1317. 5. Novoselov, K.S., et al., Two-dimensional atomic crystals. Proceedings of the National Academy of Sciences, 2005. 102(30): p. 10451-10453. 6. de Heer, W.A., et al., Large area and structured epitaxial graphene produced by confinement controlled sublimation of silicon carbide. Proceedings of the National Academy of Sciences, 2011. 108(41): p. 16900-16905. 7. Novoselov, K.S., et al., 2D materials and van der Waals heterostructures. Science, 2016. 353(6298): p. aac9439. 8. Martins, L.G.P., et al., Raman evidence for pressure-induced formation of diamondene. Nature Communications, 2017. 8(1): p. 96. 9. Rajasekaran, S., et al., Interlayer carbon bond formation induced by hydrogen adsorption in few-layer supported graphene. Physical review letters, 2013. 111(8): p. 085503. 10. Lu, S., et al., High pressure transformation of graphene nanoplates: A Raman study. Chemical Physics Letters, 2013. 585: p. 101-106. 11. Gao, Y., et al., Ultrahard carbon film from epitaxial two-layer graphene. Nature Nanotechnology, 2018. 13(2): p. 133-138. 12. Cellini, F., et al., Epitaxial two-layer graphene under pressure: Diamene stiffer than Diamond. FlatChem, 2018. 10: p. 8-13. 13. Cellini, F., et al., Layer dependence of graphene-diamene phase transition in epitaxial and exfoliated few-layer graphene using machine learning. arXiv preprint arXiv:1901.09071, 2019. 14. Cellini, F., Y. Gao, and E. Riedo, Å-Indentation for non-destructive elastic moduli measurements of supported ultra-hard ultra-thin films and nanostructures. arXiv:1901.09059 2019. 15. Narayan, J., et al., Q-carbon harder than diamond. MRS Communications, 2018: p. 1-9. 16. Berger, C., et al., Electronic confinement and coherence in patterned epitaxial graphene. Science, 2006. 312(5777): p. 1191-1196. 17. Yazdi, G.R., et al., Growth of large area monolayer graphene on 3C-SiC and a comparison with other SiC polytypes. Carbon, 2013(477-484). 18. Conrad, M., et al., Structure and evolution of semiconducting buffer graphene grown on SiC(0001). Physical Review B, 2017. 96(19): p. 195304. 19. Röhrl, J., et al., Raman spectra of epitaxial graphene on SiC (0001). Applied Physics Letters, 2008. 92(20): p. 201918. 20. Gao, Y., et al., Elastic coupling between layers in two-dimensional materials. Nature Materials, 2015. 14(7): p. 714-720. 21. Xie, H., et al., Calibration of lateral force measurements in atomic force microscopy with a piezoresistive force sensor. Rev Sci Instrum, 2008. 79(3): p. 033708. 22. Liu, W., K. Bonin, and M. Guthold, Easy and direct method for calibrating atomic force microscopy lateral force measurements. Rev Sci Instrum, 2007. 78(6): p. 063707. 23. Stark, M., et al., From images to interactions: high-resolution phase imaging in tapping-mode atomic force microscopy. Biophys J, 2001. 80(6): p. 3009-18. 24. Hastie, T., R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. 2017: Springer. 25. Jain, A.K., Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 2010. 31(8): p. 651-666. 26. Kunc, J., et al., A method to extract pure Raman spectrum of epitaxial graphene on SiC. Applied Physics Letters, 2013. 103: p. 201911. 27. Somnath, S., et al., Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging. Advanced Structural and Chemical Imaging, 2018. 4(1). 28. Yen, C.F. and S. Sivasankar, Improving estimation of kinetic parameters in dynamic force spectroscopy using cluster analysis. Journal of Chemical Physics, 2018. 148(12). 29. Pedregosa, F., et al., Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 2011. 12(2825-2830). 30. Ares, P., et al., Tunable Graphene Electronics with Local Ultrahigh Pressure. Advanced Functional Materials, 2019: p. 1806715. 31. Barboza, A.P., et al., Room-temperature compression-induced diamondization of few-layer graphene. Advanced Materials, 2011. 23(27): p. 3014-3017. 32. Robertson, J., Diamond-like amorphous carbon. Materials science and engineering: R: Reports, 2002. 37(4): p. 129-281. 33. Filleter, T., et al., Friction and dissipation in epitaxial graphene films. Physical Review Letters, 2009. 102(8).

Conference: SAMPE 2019 - Charlotte, NC

Publication Date: 2019/05/20

SKU: TP19--1494

Pages: 10

Price: FREE