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 leve...
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| Formato: | article |
| Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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| Acceso en línea: | https://doaj.org/article/b5c37d4fcd9945db84c8fc8961979f34 |
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