articleNatureJun 18, 2025HYBRID OA

Machine-learning design of ductile FeNiCoAlTa alloys with high strength

Xi'an Jiaotong University

PubMed
Indexed incrossrefpubmed

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 steels1–3; 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…

Citation impact

100
total citations
FWCI
55.76
Percentile
100%
References
62
Citations per year

Authors

12

Topics & keywords

Keywords
  • Materials science
  • Elongation
  • Ultimate tensile strength
  • Ductility (Earth science)
  • Strain hardening exponent
  • Plasticity
  • High entropy alloys
  • Yield (engineering)
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