fig4

Intelligent visualization-driven materials design via two-dimensional symbolic feature generation

Figure 4. 2D-SFG method for HEA design. (A) Local classification probability map; (B) XRD characterization results; (C) Phase prediction results obtained using different methods. 2D-SFG: Two-dimensional symbolic feature generation; HEA: high-entropy alloy; XRD: X-ray diffraction; BCC: body-centered cubic; PCA: principal component analysis; KPCA: kernel principal component analysis; LLE: locally linear embedding; MDS: multidimensional scaling.

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