Comprehensive assessment on estimating the thermodynamic and mechanical properties of multicomponent Fe–Cr-based alloys using machine learning techniques
Abstract Multicomponent Fe–Cr-based alloys are extensively used in various industrial applications due to their favorable thermodynamic and mechanical properties. However, traditional methods of obtaining these properties are often experimentally intensive and resource-consuming. This study investig...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43939-025-00255-1 |
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