The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Nanophononic Metamaterial: Thermal Conductivity Reduction by Local Resonance
Open accessAbstract
We present the concept of a locally resonant nanophononic metamaterial for thermoelectric energy conversion. Our configuration, which is based on a silicon thin film with a periodic array of pillars erected on one or two of the free surfaces, qualitatively alters the base thin-film phonon spectrum due to a hybridization mechanism between the pillar local resonances and the underlying atomic lattice dispersion. Using an experimentally fitted lattice-dynamics-based model, we conservatively predict the metamaterial thermal conductivity to be as low as 50% of the corresponding uniform thin-film value despite the fact that the pillars add more phonon modes to the spectrum.
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Cites
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Snyder, G. J., & Toberer, E. S. (2008) · Nature Materials · doi:10.1038/nmat2090 · Cited by 11,455
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Locally Resonant Sonic Materials
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Enhanced thermoelectric performance of rough silicon nanowires
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New Directions for Low‐Dimensional Thermoelectric Materials
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Cited by
Transforming heat transfer with thermal metamaterials and devices
Li, Y., Li, W., Han, T., Zheng, X., Li, J., Li, B., Fan, S., & Qiu, C.-W. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00283-2 · Cited by 676
Harnessing Buckling to Design Tunable Locally Resonant Acoustic Metamaterials
Wang, P., Casadei, F., Shan, S., Weaver, J. C., & Bertoldi, K. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.014301 · Cited by 607
Metadata
- Authors
- Davis, B. L., & Hussein, M. I.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2014-02-07
- Volume
- 112
- Issue
- 5
- Pages
- 055505-055505
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1971624058
- Cited by
- 298
- References
- 39
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- green
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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.
