Prediction of electronic work function of the second phase in binary magnesium alloy based on machine learning method
In this paper, 150 pieces of the work function of Mg-based solid solutions and Mg-containing second phases calculated by our group based on density functional theory (DFT) were collected to build a data set. According to the analysis of Pearson and Spearman correlation, 14 features were used as inpu...
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Published in | Journal of materials research Vol. 37; no. 21; pp. 3792 - 3802 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
14.11.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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