Browsing Materials Science & Technology by Subject "Machine learning"
Now showing items 1-2 of 2
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Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys
( Elsevier , 2022 , Article)We combined descriptor-based analytical models for stiffness-matrix and elastic-moduli with mean-field methods to accelerate assessment of technologically useful properties of high-entropy alloys, such as strength and ... -
Towards stacking fault energy engineering in FCC high entropy alloys
( Elsevier , 2022 , Article)Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, ...