高熵合金
材料科学
延展性(地球科学)
合金
极限抗拉强度
脆性
密度泛函理论
材料设计
复合材料
计算化学
化学
蠕动
作者
Jie Qi,Xuesong Fan,Diego Ibarra Hoyos,Michael Widom,Peter K. Liaw,Joseph Poon
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2024-12-04
卷期号:10 (49)
被引量:6
标识
DOI:10.1126/sciadv.adq0083
摘要
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 supplemented by ab initio calculations to effectively navigate phase selection and mechanical property predictions, developing single-phase ordered B2 aluminum-enriched RHEAs (Al-RHEAs) demonstrating high strength and ductility. These Al-RHEAs achieve remarkable mechanical properties, including compressive yield strengths up to 1.7 gigapascals, fracture strains exceeding 50%, and notable high-temperature strength retention. They also demonstrate a tensile yield strength of 1.0 gigapascals with a ductility of 9%, albeit with B2 ordering. Furthermore, we identify valence electron count domains for alloy ductility and brittleness with the explanation from density functional theory and provide crucial insights into elemental influence on atomic ordering and mechanical performance. The work sets forth a strategic blueprint for high-throughput alloy design and reveals fundamental principles governing the mechanical properties of advanced structural alloys.
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