Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses
Abstract Fe-based metallic glasses (MGs) have been extensively investigated due to their unique properties, especially the outstanding soft-magnetic properties. However, conventional design of soft-magnetic Fe-based MGs is heavily relied on “trial and error” experiments, and thus difficult to balanc...
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2020
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/41ec3b121f114d65904cce3446f4e76f |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|