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Machine Learning Guided Prediction of Superhard Materials Based on Compositional Features
머신러닝을 이용한 화합물 조성기반 초경질 소재 특성 예측
Chunghee Nam
남충희
Korean J. Met. Mater. 2022;60(8):619-627.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.619

Abstract
In this study, the mechanical properties of materials were predicted using machine learning to search for superhard materials. Based on an AFOW database consisting of DFT quantum calculation values, the mechanical properties of materials were predicted using various machine learning models. For supervised learning, the entire data was divided into..... More

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