fig5

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

Figure 5. Comparison of SFE trends for component prediction before and after the introduction of PM in different models. (A and B) Cr; (C and D) Ni; (E and F) Mn; (G and H) Si. SFE: Stacking fault energy; PM: physical metallurgy.

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