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

Access to Document

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,

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

language = "English",

volume = "8",

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 -