fig7

Knowledge-enabled data-driven smart design of ultra-strong ductile near-α titanium alloys under extreme conditions

Figure 7. Exhaustive evaluation of plastic strain characteristics. All possible feature combinations were assessed through multiple iterations of training and prediction. By comparing the regression accuracy and error of the model, the subset of characteristic parameters with the greatest impact on target strength performance is determined. (A) Training set R2; (B) Training set RMSE; (C) Test set R2; (D) Test set RMSE. R2: The coefficient of determination; RMSE: root mean square error; B/G: bulk/shear modulus.

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