Comprehensive assessment on estimating the thermodynamic and mechanical properties of multicomponent Fe–Cr-based alloys using machine learning techniques

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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Bibliographic Details
Main Authors: Ahed Habib, Bashar Alibrahim, Mahdi Z. Alnunu, Hussein Moussa, Maan Habib
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Materials
Subjects:
Fe–Cr alloys
Machine learning
Thermodynamic properties
Elastic properties
Online Access:https://doi.org/10.1007/s43939-025-00255-1
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