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cond-mat.mtrl-sci2022
Pair distribution function analysis for oxide defect identification through feature extraction and supervised learning
Shuyan Zhang, Jie Gong, Sharon Chu +3
Feature extraction and a neural network model are applied to predict the defect types and concentrations in experimental TiO samples. A dataset of TiO structures with vacan…
cond-mat.mtrl-sci2022★ 1 cited
Pair distribution function analysis driven by atomistic simulations: Application to microwave radiation synthesized TiO and ZrO
Shuyan Zhang, Jie Gong, Daniel Xiao +2
A workflow is presented for performing pair distribution function (PDF) analysis of defected materials using structures generated from atomistic simulations. A large collection of…