Integrated Design of Aluminum-Containing High-entropy Refractory B2 Alloys with Synergy of High Strength and Ductility
Jie Qi, Xuesong Fan, Diego Ibarra Hoyos, Michael Widom, Peter K. Liaw,, and Joseph Poon

TL;DR
This study combines machine learning and simulations to design aluminum-containing refractory high-entropy alloys with a focus on achieving high strength and ductility, providing a strategic framework for advanced alloy development.
Contribution
It introduces an integrated high-throughput approach using machine learning and Monte Carlo simulations for designing high-performance RHEAs with controlled phases and properties.
Findings
Achieved high compressive strength up to 1.6 GPa and fracture strains over 50%.
Identified a valence-electron-count domain linked to alloy brittleness.
Provided insights into element effects on atomic ordering and mechanical behavior.
Abstract
Refractory high-entropy alloys, RHEAs, are promising high-temperature structural materials. Their large compositional space poses great design challenges for phase control and high strength-ductility synergy. The present research pioneers using integrated high-throughput machine learning with Monte Carlo simulations to effectively navigate phase-selection and mechanical-properties predictions, developing aluminum-containing RHEAs in single-phase ordered B2 alloys demonstrating both high strength and ductility. These aluminum-containing RHEAs achieve remarkable mechanical properties, including compressive yield strengths up to 1.6 GPa, fracture strains exceeding 50 percent, and significant high-temperature strength retention. They also demonstrate a tensile yield strength of 1.1 GPa with a tension ductility of 6.3 percent. Besides, we identify a valence-electron-count domain for alloy…
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Taxonomy
TopicsHigh Entropy Alloys Studies · High-Temperature Coating Behaviors · Advanced Materials Characterization Techniques
