Artificial intelligence can recognize metallic glasses in vast compositional space with sparse data
Abstract Glass formation is frequently observed in metallic alloys. Machine learning has been applied to discover new metallic glasses. However, the incomplete understanding of glass formation hinders descriptor selection and material property representation. Here, we use X-ray diffraction spectra,...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01753-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|