Machine learning of superconducting critical temperature from Eliashberg theory

S. R. Xie; Y. Quan; A. C. Hire; B. Deng; J. M. DeStefano; I. Salinas; U. S. Shah; L. Fanfarillo; J. Lim; J. Kim; G. R. Stewart; J. J. Hamlin; P. J. Hirschfeld; R. G. Hennig

doi:10.1038/s41524-021-00666-7

Machine learning of superconducting critical temperature from Eliashberg theory

S. R. Xie, Y. Quan, A. C. Hire, B. Deng, J. M. DeStefano, I. Salinas, U. S. Shah, L. Fanfarillo, J. Lim, J. Kim, G. R. Stewart, J. J. Hamlin, P. J. Hirschfeld, R. G. Hennig

Physics

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	npj Computational Materials
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41524-021-00666-7
State	Published - Jan 25 2022

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10.1038/s41524-021-00666-7

https://www.nature.com/articles/s41524-021-00666-7

Cite this

@article{0a14c8d8f782458194950a9379f430b2,

title = "Machine learning of superconducting critical temperature from Eliashberg theory",

author = "Xie, \{S. R.\} and Y. Quan and Hire, \{A. C.\} and B. Deng and DeStefano, \{J. M.\} and I. Salinas and Shah, \{U. S.\} and L. Fanfarillo and J. Lim and J. Kim and Stewart, \{G. R.\} and Hamlin, \{J. J.\} and Hirschfeld, \{P. J.\} and Hennig, \{R. G.\}",

year = "2022",

month = jan,

day = "25",

doi = "10.1038/s41524-021-00666-7",

language = "English",

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journal = "npj Computational Materials",

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TY - JOUR

T1 - Machine learning of superconducting critical temperature from Eliashberg theory

AU - Xie, S. R.

AU - Quan, Y.

AU - Hire, A. C.

AU - Deng, B.

AU - DeStefano, J. M.

AU - Salinas, I.

AU - Shah, U. S.

AU - Fanfarillo, L.

AU - Lim, J.

AU - Kim, J.

AU - Stewart, G. R.

AU - Hamlin, J. J.

AU - Hirschfeld, P. J.

AU - Hennig, R. G.

PY - 2022/1/25

Y1 - 2022/1/25

U2 - 10.1038/s41524-021-00666-7

DO - 10.1038/s41524-021-00666-7

M3 - Article

SN - 2057-3960

VL - 8

JO - npj Computational Materials

JF - npj Computational Materials

IS - 1

ER -