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Evaluating Seebeck coefficient of NaxCoO2 from molecular orbital calculations AITranslate

Sakon Nakhon Rajabhat University; Sakon Nakhon Rajabhat University; Ubonratchathani Rajabhat University;National Metal and Materials Technology Center, 114 Thailand Science Park; Khon Kaen University
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Publisher: Elsevier
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Abstract AITranslate

We propose the evaluations of Seebeck coefficient of NaxCoO2 (x = 0.38, 0.67, 0.76, 0.86, and 0.95) systems by Boltzmann theory: Mott expression and Fermi energy from the discrete variational (DV)-Xα molecular orbital calculation. This approach was based on molecular orbital calculations using the Na8Co21O72, Na14Co21O72, Na16Co21O72, Na18Co21O72, and Na20Co21O72 clusters to obtain the Fermi energy at the Co3d orbital of NaxCoO2 metallic for evaluating the temperature dependence of Seebeck coefficient values. The evaluated Seebeck coefficient of the NaxCoO2 systems increases with increasing temperature as well as with increasing x value and temperature.

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DOI:https://doi.org/10.1016/j.commatsci.2010.04.013

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Citation Information:

We propose the evaluations of Seebeck coefficient of NaxCoO2 (x = 0.38, 0.67, 0.76, 0.86, and 0.95) systems by Boltzmann theory: Mott expression and Fermi energy from the discrete variational (DV)-Xα molecular orbital calculation. This approach was based on molecular orbital calculations using the Na8Co21O72, Na14Co21O72, Na16Co21O72, Na18Co21O72, and Na20Co21O72 clusters to obtain the Fermi energy at the Co3d orbital of NaxCoO2 metallic for evaluating the temperature dependence of Seebeck coefficient values. The evaluated Seebeck coefficient of the NaxCoO2 systems increases with increasing temperature as well as with increasing x value and temperature.

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GB/T 7714-2015 [1] Tosawat Seetawan, Athorn VoraUd, Prasarn Chainaronk, et al. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.04.013.
MLA [1] Tosawat Seetawan, et al., Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.04.013.
APA [1] Tosawat Seetawan, Athorn VoraUd, Prasarn Chainaronk, Chanchana Thanachayanont, & Vittaya Amornkitbamrung. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.04.013
IEEE [1] Tosawat Seetawan, Athorn VoraUd, Prasarn Chainaronk, Chanchana Thanachayanont, and Vittaya Amornkitbamrung, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.04.013.