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cond-mat.mtrl-sci2019★ 2 cited
Machine-learned metrics for predicting the likelihood of success in materials discovery
Yoolhee Kim, Edward Kim, Erin Antono +2
Materials discovery is often compared to the challenge of finding a needle in a haystack. While much work has focused on accurately predicting the properties of candidate materials…
cond-mat.mtrl-sci2017★ 71 cited
Robust FCC solute diffusion predictions from ab-initio machine learning methods
Henry Wu, Aren Lorenson, Ben Anderson +4
We evaluate the performance of four machine learning methods for modeling and predicting FCC solute diffusion barriers. More than 200 FCC solute diffusion barriers from previous de…