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Fe-based superconducting transition temperature modeling by machine learning: A computer science method

Searching for new high temperature superconductors has long been a key research issue. Fe-based superconductors attract researchers’ attention due to their high transition temperature, strong irreversibility field, and excellent crystallographic symmetry. By using doping methods and dopant levels, d...

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Detalles Bibliográficos
Autor principal: Hu, Zhiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346257/
https://www.ncbi.nlm.nih.gov/pubmed/34358265
http://dx.doi.org/10.1371/journal.pone.0255823