most citedExperimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2023★ 16 cited

Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system

Abhinav Chandraker, Sampad Barik, Nichenametla Jai Sai +1

Traditionally, yield strength prediction relies on detailed and resource-intensive microstructural characterization combined with empirical equations. However, quantifying microstr…