82 citations · 111 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 29 cited
Integrating Machine Learning with Mechanistic Models for Predicting the Yield Strength of High Entropy Alloys
Shunshun Liu, Kyungtae Lee, Prasanna V. Balachandran
Accelerating the design of materials with targeted properties is one of the key materials informatics tasks. The most common approach takes a data-driven motivation, where the unde…
cond-mat.mtrl-sci2021★ 82 cited
Phase Classification of Multi-Principal Element Alloys via Interpretable Machine Learning
Kyungtae Lee, Mukil Ayyasamy, Paige Delsa +2
There is intense interest in uncovering design rules that govern the formation of various structural phases as a function of chemical composition in multi-principal element alloys…