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Published March 8, 2018 | Supplemental Material
Journal Article Open

Mechanical properties in thermoelectric oxides: Ideal strength, deformation mechanism, and fracture toughness

Abstract

The recent dramatic improvements in high-performance thermoelectric (TE) oxides provide new exciting applications in the TE field, but the mechanical properties so important for engineering applications remain largely unexplored. Based on density functional theory (DFT) calculations, we report the ideal strength, deformation mechanism, and fracture toughness of such TE oxides as n-type ZnO and SrTiO_3 and p-type BiCuSeO and NaCo_2O_4. The Zn-O and Ti-O bonds forming the 3D Zn-O and Ti-O frameworks dominate the deformation and failure mechanisms of ZnO and SrTiO_3, respectively. Due to the higher stiffness of Ti-O octahedra compared with that of Zn-O tetrahedra, SrTiO_3 exhibits more robust macro-mechanical properties such as elastic modulus and fracture toughness than ZnO. The Bi-Se and Na-O bonds, which couple the different 2D substructures, are responsible for the relative slip in BiCuSeO and NaCo_2O_4, respectively. Since the Zn-O and Ti-O bonds are much stronger than the Bi-Se and Na-O bonds, we find that n-type ZnO and SrTiO_3 have a higher ideal strength and fracture toughness compared with p-type BiCuSeO and NaCo_2O_4. This work reveals that for TE module applications of oxides, it is most important to significantly improve the mechanical properties of the p-leg.

Additional Information

© 2018 Acta Materialia Inc. Published by Elsevier Ltd. Received 14 January 2018, Revised 27 February 2018, Accepted 28 February 2018, Available online 7 March 2018. This work is partially supported by NSF of China under No. 51772231, the 111 Project of China under Project no. B07040. S.A.M was supported by National Science Foundation DMR program under grant no. 1334713, 1334351, and 1333335. Q.A was supported by the National Natural Science Foundation of CMMI program under grant no. 1727428. S.M. was thankful for the support by Act 211 Government of the Russian Federation, under No. 02.A03.21.0011 and by the Supercomputer Simulation Laboratory of South Ural State University [49].

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