Machine learning-assisted design of high-entropy alloys with superior mechanical properties
Most recently, high-entropy alloys (HEAs) with 5 or more elements open a new area for materials exploration with substantial mechanical properties. The large composition space and numerous structures of HEAs bring significant difficulties for phase design and determination of mechanical property. Ma...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
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| Series: | Journal of Materials Research and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424020192 |
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