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Characterization of thermal transport in low-dimensional boron nitride nanostructures
Abstract
Recent advances in the synthesis of hexagonal boron nitride (BN) based nanostructures, similar to graphene, graphene nanoribbons, and nanotubes, have attracted significant interest into characterization of these materials. While electronic and optical properties of BN-based materials have been widely studied, the thermal transport has not been thoroughly investigated. In this paper, the thermal transport properties of these BN nanostructures are systematically studied using equilibrium molecular dynamics with a Tersoff-type empirical interatomic potential which is re-parametrized to represent experimental structure and phonon dispersion of two-dimensional hexagonal BN. Our simulations show that BN nanostructures have considerably high thermal conductivities but are still quite lower than carbon-based counterparts. Qualitatively, however, the thermal conductivity of carbon and BN nanoribbons display similar behavior with respect to the variation of width and edge structure (zigzag and armchair). Additionally, thermal conductivities of $(10,10)$ and $(10,0)$ nanotubes, both carbon and BN, are found to have very weak dependence on their chirality.
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Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Ab initio molecular dynamics for liquid metals
Kresse, G., & Hafner, J. (1993) · Physical Review B · doi:10.1103/physrevb.47.558 · Cited by 45,727
Helical microtubules of graphitic carbon
Iijima, S. (1991) · Nature · doi:10.1038/354056a0 · Cited by 43,098
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
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 15,812
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Metadata
- Authors
- Sevik, C., Kinaci, A., Haskins, J. B., & Çağın, T.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2011-08-22
- Volume
- 84
- Issue
- 8
- ISSN
- 1098-0121 (ISSN-L)
- 1550-235X
- OpenAlex
- W2034500565
- Cited by
- 326
- References
- 79
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- closed
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