Machine-learning design of ductile FeNiCoAlTa alloys with high strength.

ABSTRACT: The pursuit of strong yet ductile alloys has been ongoing for centuries. However, for all alloys developed thus far, including recent high-entropy alloys, those possessing good tensile ductility rarely approach 2-GPa yield strength at room temperature. The few that do are mostly ultra-strong steels^1-3; however, their stress-strain curves exhibit plateaus and serrations because their tensile flow suffers from plastic instability (such as Lüders strains)^1-4, and the elongation is pseudo-uniform at best. Here we report that a group of carefully engineered multi-principal-element alloys, with a composition of Fe₃₅Ni₂₉Co₂₁Al₁₂Ta₃ designed by means of domain knowledge-informed machine learning, can be processed to reach

SUBMITTER: Sohail Y 

PROVIDER: S-EPMC12221976 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature