Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties
High-entropy alloys (HEAs), a novel class of multi-component alloy systems, have attracted much attention due to their unique compositions and outstanding performance advantages. However, the development of high-performance HEAs is severely hindered by their complex composition, high difficulty of d...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785425016618 |
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