91 citations · 106 across the 3 of their papers we have counts for
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cond-mat.mtrl-sci2020
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration
Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi +3
Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step proces…
cond-mat.mtrl-sci2013★ 4 cited
The interactions of same-row oxygen vacancies on rutile TiO(110)
B. B. Kappes, W. B. Maddox, D. P. Acharya +2
Based on a dipolar-elastic model for oxygen vacancies on rutile (110), we evaluated analytically the overall energy of a periodic array of two vacancies and extracted the interacti…