Machine learning of superconducting critical temperature from Eliashberg theory
2022 · npj Computational Materials · 71 citations
https://doi.org/10.1038/s41524-021-00666-7
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30
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276
Citations
7
h-index
6
i10-index
Jonathan M. DeStefano is an academic researcher from University of Washington. The author has contributed to research in topics: Topological Materials and Phenomena & Advanced Condensed Matter Physics & Physics of Superconductivity and Magnetism. The author has an h-index of 7, co-authored 26 publications.
ORCID: 0000-0002-7220-1261https://doi.org/10.1038/s41524-021-00666-7
https://doi.org/10.1038/s41535-023-00600-8
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