fig4

Predicting stacking fault energy in austenitic stainless steels via physical metallurgy-based machine learning approaches

Figure 4. Mean R2 and MAE results for different PM models using conventional ML algorithms. R2: The squared correlation coefficient; MAE: mean absolute error; PM: physical metallurgy; ML: machine learning.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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