The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Thermal conductivity of diamond nanowires from first principles
Abstract
Using ab initio calculations we have investigated the thermal conductivity ($\ensuremath{\kappa}$) of diamond nanowires, unveiling unusual features unique to this system. In sharp contrast with Si, $\ensuremath{\kappa}(T)$ of diamond nanowires as thick as 400 nm still increase monotonically with temperature up to 300 K, and room-temperature size effects are stronger than for Si. A marked dependence of $\ensuremath{\kappa}$ on the crystallographic orientation is predicted, which is apparent even at room temperature. [001] growth direction always possesses the largest $\ensuremath{\kappa}$ in diamond nanowires. The predicted features point to a potential use of diamond nanowires for the precise control of thermal flow in nanoscale devices.
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
Pseudopotentials that work: From H to Pu
Bachelet, G. B., Hamann, D. R., & Schlüter, M. (1982) · Physical Review B · doi:10.1103/physrevb.26.4199 · Cited by 3,385
Ziman, J. M., & Levy, P. W. (1961) · Physics Today · doi:10.1063/1.3057244 · Cited by 3,368
Peierls, R. E., & Roberts, L. D. (1956) · Physics Today · doi:10.1063/1.3059963 · Cited by 3,301
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
Analysis of Lattice Thermal Conductivity
Holland, M. G. (1963) · Physical Review · doi:10.1103/physrev.132.2461 · Cited by 1,160
Intrinsic lattice thermal conductivity of semiconductors from first principles
Broido, D. A., Malorny, M., Birner, G., Mingo, N., & Stewart, D. A. (2007) · Applied Physics Letters · doi:10.1063/1.2822891 · Cited by 978
Self-citationAb initio theory of the lattice thermal conductivity in diamond
Ward, A., Broido, D. A., Stewart, D. A., & Deinzer, G. (2009) · Physical Review B · doi:10.1103/physrevb.80.125203 · Cited by 655
Self-citationCalculation of Si nanowire thermal conductivity using complete phonon dispersion relations
Mingo, N. (2003) · Physical Review B · doi:10.1103/physrevb.68.113308 · Cited by 424
Self-citationSpectral and Fermi surface properties from Wannier interpolation
Yates, J. R., Wang, X., Vanderbilt, D., & Souza, I. (2007) · Physical Review B · doi:10.1103/physrevb.75.195121 · Cited by 407
Impact of Phonon-Surface Roughness Scattering on Thermal Conductivity of Thin Si Nanowires
Martin, P., Aksamija, Z., Pop, E., & Ravaioli, U. (2009) · Physical Review Letters · doi:10.1103/physrevlett.102.125503 · Cited by 373
Cited by
ShengBTE: A solver of the Boltzmann transport equation for phonons
Li, W., Carrete, J., A. Katcho, N., & Mingo, N. (2014) · Computer Physics Communications · doi:10.1016/j.cpc.2014.02.015 · Cited by 3,147
Self-citationEmerging challenges and materials for thermal management of electronics
Moore, A. L., & Shi, L. (2014) · Materials Today · doi:10.1016/j.mattod.2014.04.003 · Cited by 2,106
Nanoscale thermal transport. II. 2003–2012
Cahill, D. G., Braun, P. V., Chen, G., Clarke, D. R., Fan, S., Goodson, K. E., Keblinski, P., King, W. P., Mahan, G. D., Majumdar, A., et al. (2014) · Applied Physics Reviews · doi:10.1063/1.4832615 · Cited by 1,763
Thermal conductivity of bulk and nanowire Mg2SixSn1−xalloys from first principles
Li, W., Lindsay, L., Broido, D. A., Stewart, D. A., & Mingo, N. (2012) · Physical Review B · doi:10.1103/physrevb.86.174307 · Cited by 616
Self-citationPhosphorene nanoribbon as a promising candidate for thermoelectric applications
Zhang, J., Liu, H. J., Cheng, L., Wei, J., Liang, J. H., Fan, D. D., Shi, J., Tang, X. F., & Zhang, Q. J. (2014) · Scientific Reports · doi:10.1038/srep06452 · Cited by 332
Metadata
- Authors
- Li, W., Mingo, N., Lindsay, L., Broido, D. A., Stewart, D. A., & Katcho, N. A.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2012-05-17
- Volume
- 85
- Issue
- 19
- ISSN
- 1098-0121 (ISSN-L)
- 1550-235X
- OpenAlex
- W2151034605
- Cited by
- 377
- References
- 30
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Thermal conductivity of diamond nanowires from first principles. https://app.cochat.ai/papers/10.1103/physrevb.85.195436
- The paper
- Li, W., Mingo, N., Lindsay, L., Broido, D. A., Stewart, D. A., & Katcho, N. A. (2012). Thermal conductivity of diamond nanowires from first principles. Physical Review B. https://doi.org/10.1103/physrevb.85.195436
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.