Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys
High-entropy alloys (HEAs) are gaining popularity because of their remarkable properties controlled by phases and crystal structures. In addition to that, in the field of material informatics, machine learning (ML) techniques have gained considerable attention in predicting phases and crystal struct...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Journal of Alloys and Metallurgical Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949917824000932 |
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