A Deep Neural Network Potential to Study the Thermal Conductivity of MnBi2Te4 and Bi2Te3/MnBi2Te4 Superlattice-Reference-Cited by-同舟云学术

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A Deep Neural Network Potential to Study the Thermal Conductivity of MnBi2Te4 and Bi2Te3/MnBi2Te4 Superlattice

Published:2023-04-18 Issue:7 Volume:52 Page:4475-4483
ISSN:0361-5235
Container-title:Journal of Electronic Materials
language:en
Short-container-title:J. Electron. Mater.

Author:

Qu Ruijin,Lv Yawei^ORCID,Lu Zhihong

Funder

the National Natural Science Foundation of China

Innovative Research Group Project of the National Natural Science Foundation of China

Philosophy and Social Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11664-023-10403-z.pdf

Reference37 articles.

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2. Y. Pei, X. Shi, A. LaLonde, H. Wang, L. Chen, and G.J. Snyder, Convergence of electronic bands for high performance bulk thermoelectrics. Nature 473, 66 (2011).

3. B. Hinterleitner, I. Knapp, M. Poneder, Y. Shi, H. Müller, G. Eguchi, C. Eisenmenger-Sittner, M. Stöger-Pollach, Y. Kakefuda, N. Kawamoto, Q. Guo, T. Baba, T. Mori, S. Ullah, X.-Q. Chen, and E. Bauer, Thermoelectric performance of a metastable thin-film heusler alloy. Nature 576, 85 (2019).

4. L.-D. Zhao, G. Tan, S. Hao, J. He, Y. Pei, H. Chi, H. Wang, S. Gong, H. Xu, V.P. Dravid, C. Uher, G.J. Snyder, C. Wolverton, and M.G. Kanatzidis, Ultrahigh power factor and thermoelectric performance in hole-doped single-crystal SnSe. Science 351, 141 (2016).

5. W. Liu, X. Tan, K. Yin, H. Liu, X. Tang, J. Shi, Q. Zhang, and C. Uher, Convergence of conduction bands as a means of enhancing thermoelectric performance of n-type Mg2Si1−xSnx solid solutions. Phys. Rev. Lett. 108, 166601 (2012).

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