Computation-driven materials search for thermoelectric applications

Qing Hao, Dongchao Xu, Hongbo Zhao

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Abstract

The advancement of computational tools for material property predictions enables broad search of novel materials for various energy-related applications. However, challenges still exist in accurately predicting the mean free paths of electrons and phonons in a high throughput frame for thermoelectric property predictions, which largely hinders the computation-driven material search for novel materials. In this work, this need is eliminated under the small-grain-size limit, in which these mean free paths are restricted by the grain sizes within a bulk material. A new criterion for ZT evaluation is proposed for general nanograined bulk materials and is demonstrated with representative oxides.

Original languageEnglish (US)
Pages (from-to)N3095-N3102
JournalECS Journal of Solid State Science and Technology
Volume6
Issue number3
DOIs
Publication statusPublished - Jan 1 2017

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials

Cite this

Computation-driven materials search for thermoelectric applications. / Hao, Qing; Xu, Dongchao; Zhao, Hongbo.

In: ECS Journal of Solid State Science and Technology, Vol. 6, No. 3, 01.01.2017, p. N3095-N3102.

Research output: Contribution to journalArticle