Machine-learning design of ductile FeNiCoAlTa alloys with high strength
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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
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Authors
12Topics & keywords
Topics
Keywords
- Materials science
- Elongation
- Ultimate tensile strength
- Ductility (Earth science)
- Strain hardening exponent
- Plasticity
- High entropy alloys
- Yield (engineering)
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