fig9

Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Figure 9. Comp. + 6feat. model performance on 30 new data points. (A) EC; (B) UTS. Comp.: Composition-property; feat.: physical features-property; EC: electrical conductivity; UTS: ultimate tensile strength; %IACS: international annealed copper standard; RMSE: root mean square error; MAPE: mean absolute percentage error.

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