Machine learning-assisted design of Ti–V–Nb–Mo refractory high-entropy alloys with higher ductility and specific yield strength
The performance of refractory high-entropy alloys (RHEAs) is closely related to the content of their constituent elements, which makes compositional exploration through traditional trial-and-error methods a challenging and time-consuming endeavour, with the goal of developing an alloy that exhibits...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424030072 |
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