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A Study of the Utility of a Machine-Learning Approach Applied to the Prediction of Site Occupancy and New Members of the Half-Heusler Family
DownloadFall 2019
Predicting the formation and structures of non-molecular inorganic compounds has long been a fundamental goal in solid state chemistry. In this thesis, machine learning approaches have been applied to confront this challenge, focusing in particular on the large family of half-Heusler compounds...
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