The DOI matches its Crossref record; 268 of the 268 references it cites were found in a registry or an index.
Nanoscale heat transfer – from computation to experiment
Open accessAbstract
Heat transfer can differ distinctly at the nanoscale from that at the macroscale. Recent advancement in computational and experimental techniques has enabled a large number of interesting observations and understanding of heat transfer processes at the nanoscale. In this review, we will first discuss recent advances in computational and experimental methods used in nanoscale thermal transport studies, followed by reviews of novel thermal transport phenomena at the nanoscale observed in both computational and experimental studies, and discussion on current understanding of these novel phenomena. Our perspectives on challenges and opportunities on computational and experimental methods are also presented.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Tranter, C. J. (1959) · Journal of the Mechanics and Physics of Solids · doi:10.1016/0022-5096(59)90029-8 · Cited by 18,388
Binnig, G., Quate, C. F., & Gerber, C. (1986) · Physical Review Letters · doi:10.1103/physrevlett.56.930 · Cited by 14,762
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
Methods of Theoretical Physics
Morse, P. M., Feshbach, H., & Hill, E. L. (1954) · American Journal of Physics · doi:10.1119/1.1933765 · Cited by 13,197
High-Thermoelectric Performance of Nanostructured Bismuth Antimony Telluride Bulk Alloys
Poudel, B., Hao, Q., Ma, Y., Lan, Y., Minnich, A., Yu, B., Yan, X., Wang, D., Muto, A., Vashaee, D., et al. (2008) · Science · doi:10.1126/science.1156446 · Cited by 5,606
Self-citationThin-film thermoelectric devices with high room-temperature figures of merit
Venkatasubramanian, R., Siivola, E., Colpitts, T., & O'Quinn, B. (2001) · Nature · doi:10.1038/35098012 · Cited by 5,205
A reactive potential for hydrocarbons with intermolecular interactions
Stuart, S. J., Tutein, A. B., & Harrison, J. A. (2000) · The Journal of Chemical Physics · doi:10.1063/1.481208 · Cited by 4,436
Enhanced thermoelectric performance of rough silicon nanowires
Hochbaum, A. I., Chen, R., Delgado, R. D., Liang, W., Garnett, E. C., Najarian, M., Majumdar, A., & Yang, P. (2008) · Nature · doi:10.1038/nature06381 · Cited by 4,109
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
Cited by
Ultra-Low Thermal Conductivity in Organic–Inorganic Hybrid Perovskite CH3NH3PbI3
Pisoni, A., Jaćimović, J., Barišić, O. S., Spina, M., Gaál, R., Forró, L., & Horváth, E. (2014) · The Journal of Physical Chemistry Letters · doi:10.1021/jz5012109 · Cited by 521
Jiang, P., Qian, X., & Yang, R. (2018) · Journal of Applied Physics · doi:10.1063/1.5046944 · Cited by 424
Size-dependent phononic thermal transport in low-dimensional nanomaterials
Zhang, Z., Ouyang, Y., Cheng, Y., Chen, J., Li, N., & Zhang, G. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.03.001 · Cited by 341
Wu, X., Lee, J., Varshney, V., Wohlwend, J. L., Roy, A. K., & Luo, T. (2016) · Scientific Reports · doi:10.1038/srep22504 · Cited by 189
Self-citationAnisotropy of the Thermal Conductivity in GaAs/AlAs Superlattices
Luckyanova, M. N., Johnson, J. A., Maznev, A. A., Garg, J., Jandl, A., Bulsara, M. T., Fitzgerald, E. A., Nelson, K. A., & Chen, G. (2013) · Nano Letters · doi:10.1021/nl4001162 · Cited by 96
Self-citation
Metadata
- Authors
- Luo, T., & Chen, G.
- Venue
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 15
- Issue
- 10
- Pages
- 3389
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W2023042614
- Cited by
- 273
- References
- 268
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- green
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: Nanoscale heat transfer – from computation to experiment. https://app.cochat.ai/papers/10.1039/c2cp43771f
- The paper
- Luo, T., & Chen, G. (2013). Nanoscale heat transfer – from computation to experiment. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c2cp43771f
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.
