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.
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
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 journal › Article