Machine learning-driven insights into phase prediction for high entropy alloys
The unique properties of high-entropy alloys (HEAs) have attracted considerable attention, largely due to their dependence on the choice among three distinct phases: solid solution (SS), intermetallic compound (IM), or a blend of both (SS + IM). For this reason, precise phase prediction is key to id...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2024-12-01
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| Reeks: | Journal of Alloys and Metallurgical Systems |
| Onderwerpen: | |
| Online toegang: | http://www.sciencedirect.com/science/article/pii/S2949917824000579 |
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