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...
Saved in:
| Main Author: | |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/b5c37d4fcd9945db84c8fc8961979f34 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|