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Thermal Conductivity of Graphene and Graphite: Collective Excitations and Mean Free Paths
Open accessAbstract
We characterize the thermal conductivity of graphite, monolayer graphene, graphane, fluorographane, and bilayer graphene, solving exactly the Boltzmann transport equation for phonons, with phonon-phonon collision rates obtained from density functional perturbation theory. For graphite, the results are found to be in excellent agreement with experiments; notably, the thermal conductivity is 1 order of magnitude larger than what found by solving the Boltzmann equation in the single mode approximation, commonly used to describe heat transport. For graphene, we point out that a meaningful value of intrinsic thermal conductivity at room temperature can be obtained only for sample sizes of the order of 1 mm, something not considered previously. This unusual requirement is because collective phonon excitations, and not single phonons, are the main heat carriers in these materials; these excitations are characterized by mean free paths of the order of hundreds of micrometers. As a result, even Fourier's law becomes questionable in typical sample sizes, because its statistical nature makes it applicable only in the thermodynamic limit to systems larger than a few mean free paths. Finally, we discuss the effects of isotopic disorder, strain, and chemical functionalization on thermal performance. Only chemical functionalization is found to play an important role, decreasing the conductivity by a factor of 2 in hydrogenated graphene, and by 1 order of magnitude in fluorogenated graphene.
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QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials
Giannozzi, P., Baroni, S., Bonini, N., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Chiarotti, G. L., Cococcioni, M., Dabo, I., et al. (2009) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/21/39/395502 · Cited by 29,281
Self-citationSuperior 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
Phonons and related crystal properties from density-functional perturbation theory
Baroni, S., de Gironcoli, S., Dal Corso, A., & Giannozzi, P. (2001) · Reviews of Modern Physics · doi:10.1103/revmodphys.73.515 · Cited by 10,043
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Model for Lattice Thermal Conductivity at Low Temperatures
Callaway, J. (1959) · Physical Review · doi:10.1103/physrev.113.1046 · Cited by 3,218
Ghosh, S., Calizo, I., Teweldebrhan, D., Pokatilov, E. P., Nika, D. L., Balandin, A. A., Bao, W., Miao, F., & Lau, C. N. (2008) · Applied Physics Letters · doi:10.1063/1.2907977 · Cited by 2,099
Two-Dimensional Phonon Transport in Supported Graphene
Seol, J. H., Jo, I., Moore, A. L., Lindsay, L., Aitken, Z. H., Pettes, M. T., Li, X., Yao, Z., Huang, R., Broido, D., et al. (2010) · Science · doi:10.1126/science.1184014 · Cited by 1,926
Thermal conductivity of individual silicon nanowires
Li, D., Wu, Y., Kim, P., Shi, L., Yang, P., & Majumdar, A. (2003) · Applied Physics Letters · doi:10.1063/1.1616981 · Cited by 1,764
Thermal conduction in classical low-dimensional lattices
Lepri, S. (2003) · Physics Reports · doi:10.1016/s0370-1573(02)00558-6 · Cited by 1,415
Dimensional crossover of thermal transport in few-layer graphene
Ghosh, S., Bao, W., Nika, D. L., Subrina, S., Pokatilov, E. P., Lau, C. N., & Balandin, A. A. (2010) · Nature Materials · doi:10.1038/nmat2753 · Cited by 1,388
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Giannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Buongiorno Nardelli, M., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Cococcioni, M., et al. (2017) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/aa8f79 · Cited by 8,361
Self-citationRenteria, J. D., Ramirez, S., Malekpour, H., Alonso, B., Centeno, A., Zurutuza, A., Cocemasov, A. I., Nika, D. L., & Balandin, A. A. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201501429 · Cited by 579
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Han, B., Zhang, Y., Chen, Q., & Sun, H. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201802235 · Cited by 522
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Nika, D. L., & Balandin, A. A. (2017) · Reports on Progress in Physics · doi:10.1088/1361-6633/80/3/036502 · Cited by 359
Zhang, Y., Heo, Y.-J., Son, Y.-R., In, I., An, K.-H., Kim, B.-J., & Park, S.-J. (2019) · Carbon · doi:10.1016/j.carbon.2018.10.077 · Cited by 341
Metadata
- Authors
- Fugallo, G., Cepellotti, A., Paulatto, L., Lazzeri, M., Marzari, N., & Mauri, F.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-11-03
- Volume
- 14
- Issue
- 11
- Pages
- 6109-6114
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2127909111
- Cited by
- 586
- References
- 50
- FWCI
- 17.72
- Type
- journal article
- Language
- en
- Open access
- green
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