Cargando…
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...
| Autor principal: | |
|---|---|
| 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 |