Study on the Thermoelectric Properties of NdZnSbO

The thermoelectric properties of NdZnSbO have been systematically studied using density functional theory calculations. The bulk NdZnSbO is a natural super lattice structure with low thermal conductivity and low electrical conductivity. The band structure indicates that it is a direct gap semiconductor with a band gap of 0.68eV. Its conductivity can be improved by doping and thus increase its ZT value. At a temperature of 800K, near the carrier concentration 2.1E19/cm3, the p-type doped system presents a Seeback coefficient of 382μVκ-1, a conductivity of 1.48×104Sm-1 and a power factor of 0.66×10-3Wm-1κ-2. As a result, a thermoelectric figure of merit (ZT) reaches a maximum value of 1.12.

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Publication Details

Journal
International Journal of Materials Science and Technology Studies
Published
2024-09-19
DOI
https://doi.org/10.62051/ijmsts.v2n2.04
Primary Topic
Neural Networks and Applications
Type
article
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article

Study on the Thermoelectric Properties of NdZnSbO

Jian Liu
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International Journal of Materials Science and Technology Studies
Neural Networks and Applications
article

Study on the Thermoelectric Properties of NdZnSbO

Jian Liu
article en

Abstract

The thermoelectric properties of NdZnSbO have been systematically studied using density functional theory calculations. The bulk NdZnSbO is a natural super lattice structure with low thermal conductivity and low electrical conductivity. The band structure indicates that it is a direct gap semiconductor with a band gap of 0.68eV. Its conductivity can be improved by doping and thus increase its ZT value. At a temperature of 800K, near the carrier concentration 2.1E19/cm3, the p-type doped system presents a Seeback coefficient of 382μVκ-1, a conductivity of 1.48×104Sm-1 and a power factor of 0.66×10-3Wm-1κ-2. As a result, a thermoelectric figure of merit (ZT) reaches a maximum value of 1.12.

International Journal of Materials Science and Technology StudiesVol. 2(2)
Baise University (CN)
Openalex Percentile: Top 86%
Neural Networks and Applications
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