fig8

Phase-field-informed machine learning on creep behavior of Ni-based single-crystal superalloys

Figure 8. Add statistical features by two-point correlation and PCA. (A-D) Microstructure and γ phase autocorrelation diagrams under σxx = 430 MPa; (A) and (C) microstructures; (B) and (D) phase autocorrelation diagrams at t* = 5 and t* = 15, respectively; (E) relationship between the variance proportion and PCA dimension, and the scatter distribution of each point after PCA dimension reduction. PCA: Principal component analysis.

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