The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Lattice Strain Advances Thermoelectrics
Open accessAbstract
Summary Lattice vibrations in crystalline materials generate phonons as heat carriers for heat conduction, and the phonon dispersion (energy versus momentum) is fundamentally determined by the mass of lattice vibrators (atoms) and the interaction force between atoms. A significant manipulation of lattice thermal conductivity through a change in atomic mass usually requires a large variation in chemical composition, which is not always valid thermodynamically or may risk the resultant detriment of other functionalities (e.g., carrier mobility). Here we show a strategy of alternatively manipulating the interaction force between atoms through lattice strains without changing the composition, for remarkably reducing the lattice thermal conductivity without reducing carrier mobility, in Na0.03Eu0.03Sn0.02Pb0.92Te with stable lattice dislocations. This successfully leads to an extraordinarily high thermoelectric figure of merit, with the help of valence band convergence. This work offers both insights and solutions on lattice strain engineering for reducing lattice thermal conductivity, thus advancing thermoelectrics.
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Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Complex thermoelectric materials
Snyder, G. J., & Toberer, E. S. (2008) · Nature Materials · doi:10.1038/nmat2090 · Cited by 11,455
Togo, A., Oba, F., & Tanaka, I. (2008) · Physical Review B · doi:10.1103/physrevb.78.134106 · Cited by 5,486
High-performance bulk thermoelectrics with all-scale hierarchical architectures
Biswas, K., He, J., Blum, I. D., Wu, C.-I., Hogan, T. P., Seidman, D. N., Dravid, V. P., & Kanatzidis, M. G. (2012) · Nature · doi:10.1038/nature11439 · Cited by 4,740
Convergence of electronic bands for high performance bulk thermoelectrics
Pei, Y., Shi, X., LaLonde, A., Wang, H., Chen, L., & Snyder, G. J. (2011) · Nature · doi:10.1038/nature09996 · Cited by 4,263
Self-citationCubic AgPb m SbTe 2+ m : Bulk Thermoelectric Materials with High Figure of Merit
Hsu, K. F., Loo, S., Guo, F., Chen, W., Dyck, J. S., Uher, C., Hogan, T., Polychroniadis, E. K., & Kanatzidis, M. G. (2004) · Science · doi:10.1126/science.1092963 · Cited by 2,927
X-ray analysis of ZnO nanoparticles by Williamson–Hall and size–strain plot methods
Khorsand Zak, A., Abd. Majid, W. H., Abrishami, M. E., & Yousefi, R. (2011) · Solid State Sciences · doi:10.1016/j.solidstatesciences.2010.11.024 · Cited by 2,644
Lower limit to the thermal conductivity of disordered crystals
Cahill, D. G., Watson, S. K., & Pohl, R. O. (1992) · Physical Review B · doi:10.1103/physrevb.46.6131 · Cited by 2,617
Copper ion liquid-like thermoelectrics
Liu, H., Shi, X., Xu, F., Zhang, L., Zhang, W., Chen, L., Li, Q., Uher, C., Day, T., & Snyder, G. J. (2012) · Nature Materials · doi:10.1038/nmat3273 · Cited by 2,118
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Shi, X.-L., Wu, H., Liu, Q., Zhou, W., Lu, S., Shao, Z., Dargusch, M., & Chen, Z.-G. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.105195 · Cited by 259
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Metadata
- Authors
- Wu, Y., Chen, Z., Nan, P., Xiong, F., Lin, S., Zhang, X., Chen, Y., Chen, L., Ge, B., & Pei, Y.
- Venue
- Joule
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 3
- Issue
- 5
- Pages
- 1276-1288
- ISSN
- 2542-4351 (ISSN-L)
- OpenAlex
- W2918745925
- Cited by
- 567
- References
- 32
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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