Phonon Scattering by Defects and Grain Boundaries at High Temperature in Polycrystalline Lanthanum Tellurides of Various Compositions

  • J. W. Vandersande
  • C. Wood
  • D. Whittenberger
Conference paper
Part of the Springer Series in Solid-State Sciences book series (SSSOL, volume 68)

Abstract

During the past ten years, both theoretical and experimental work on the thermal conductivity of SiGe alloys has shown the importance of grain boundary scattering at high temperatures [1,2]. A grain size of less than 5 m reduced the lattice thermal conductivity by around 35% below the single crystal value at 1000K in heavily-doped alloys [3]. This decrease is believed to be due to the scattering of low-frequency (long wavelength) acoustic phonons by the grain boundaries. These phonons carry a large fraction of the heat in these alloys at high temperatures because the high-frequency (short wavelength) phonons are scattered by the Si-Ge mass difference.

Keywords

Sulfide Tate Lanthanum Luride 

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References

  1. 1.
    H. R. Meddins and J. E. Parrott, J. Phys. C.: Solid St. Phys., 9, 1263 (1976)CrossRefADSGoogle Scholar
  2. 2.
    N. Savvides and H. J. Goldsmid, J. Phys. C.: Solid St. Phys. 13, 4657 (1980)CrossRefADSGoogle Scholar
  3. 3.
    D. M. Rowe and V. S. Shukula, J. Appl. Phys. 52 (12), 7421 (1981)CrossRefADSGoogle Scholar
  4. 4.
    J. W. Vandersande, C. Wood, A. Zoltan, and D. Whittenberger, to be published in the Proceedings of the 19th International Thermal Conductivity Conference, Cookeville, TN. (1985).Google Scholar
  5. 5.
    C. Wood and A. Zoltan, Rev. Sci. Instrum. 55, 235 (1984)CrossRefADSGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • J. W. Vandersande
    • 1
  • C. Wood
    • 1
  • D. Whittenberger
    • 2
  1. 1.Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaUSA
  2. 2.Lewis Research CenterNASAClevelandUSA

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