The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Length-dependent thermal conductivity in suspended single-layer graphene
Open accessAbstract
Graphene exhibits extraordinary electronic and mechanical properties, and extremely high thermal conductivity. Being a very stable atomically thick membrane that can be suspended between two leads, graphene provides a perfect test platform for studying thermal conductivity in two-dimensional systems, which is of primary importance for phonon transport in low-dimensional materials. Here we report experimental measurements and non-equilibrium molecular dynamics simulations of thermal conduction in suspended single-layer graphene as a function of both temperature and sample length. Interestingly and in contrast to bulk materials, at 300 K, thermal conductivity keeps increasing and remains logarithmically divergent with sample length even for sample lengths much larger than the average phonon mean free path. This result is a consequence of the two-dimensional nature of phonons in graphene, and provides fundamental understanding of thermal transport in two-dimensional materials. Graphene is known to display unique functional properties due to its two-dimensional structure. Here, the authors measure the thermal conductivity of suspended graphene as a function of sample length, finding that thermal conductivity is higher in longer samples as a result of two-dimensional phonons.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
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
Experimental observation of the quantum Hall effect and Berry's phase in graphene
Zhang, Y., Tan, Y.-W., Stormer, H. L., & Kim, P. (2005) · Nature · doi:10.1038/nature04235 · Cited by 13,435
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Thermal Transport Measurements of Individual Multiwalled Nanotubes
Kim, P., Shi, L., Majumdar, A., & McEuen, P. L. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.215502 · Cited by 3,378
Shi, L., Li, D., Yu, C., Jang, W., Kim, D., Yao, Z., Kim, P., & Majumdar, A. (2003) · Journal of Heat Transfer · doi:10.1115/1.1597619 · Cited by 733
Effects of chemical bonding on heat transport across interfaces
Losego, M. D., Grady, M. E., Sottos, N. R., Cahill, D. G., & Braun, P. V. (2012) · Nature Materials · doi:10.1038/nmat3303 · Cited by 701
Cited by
Rise of silicene: A competitive 2D material
Zhao, J., Liu, H., Yu, Z., Quhe, R., Zhou, S., Wang, Y., Liu, C. C., Zhong, H., Han, N., Lu, J., et al. (2016) · Progress in Materials Science · doi:10.1016/j.pmatsci.2016.04.001 · Cited by 891
Self-citationPhonon-engineered extreme thermal conductivity materials
Qian, X., Zhou, J., & Chen, G. (2021) · Nature Materials · doi:10.1038/s41563-021-00918-3 · Cited by 837
High thermal conductivity of high-quality monolayer boron nitride and its thermal expansion
Cai, Q., Scullion, D., Gan, W., Falin, A., Zhang, S., Watanabe, K., Taniguchi, T., Chen, Y., Santos, E. J. G., & Li, L. H. (2019) · Science Advances · doi:10.1126/sciadv.aav0129 · Cited by 607
Thermal Conductivity of Graphene and Graphite: Collective Excitations and Mean Free Paths
Fugallo, G., Cepellotti, A., Paulatto, L., Lazzeri, M., Marzari, N., & Mauri, F. (2014) · Nano Letters · doi:10.1021/nl502059f · Cited by 586
Ultrahigh Thermal Conductive yet Superflexible Graphene Films
Peng, L., Xu, Z., Liu, Z., Guo, Y., Li, P., & Gao, C. (2017) · Advanced Materials · doi:10.1002/adma.201700589 · Cited by 586
Metadata
- Authors
- Xu, X., Pereira, L. F. C., Wang, Y., Wu, J., Zhang, K., Zhao, X., Bae, S., Tinh Bui, C., Xie, R., Thong, J. T. L., Hong, B. H., Loh, K. P., Donadio, D., Li, B., & Özyilmaz, B.
- Venue
- Nature Communications
- Published
- 2014-04-16
- Volume
- 5
- Issue
- 1
- Pages
- 3689-3689
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2077926445
- Cited by
- 950
- References
- 7
- FWCI
- 33.95
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
