fig6

Machine learning-driven new paradigm for Co-based superalloys

Figure 6. Material design strategy for multi-property optimization of multi-component Co-based superalloys via ML and model iteration results. (A) Design strategy workflow; (B) ROC curve for evaluating classification models; (C) Regression results for γ′ solvus temperature; (D) Regression results for solidus temperature; (E) Regression results for liquidus temperature; (F) Regression results for density; (G) Variation of experimental values over three iterations[51]. ML: Machine learning; ROC: receiver operating characteristic.

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