fig7

Generative deep learning as a tool for inverse design of high entropy refractory alloys

Figure 7. (A) Correlation between shear modulus and fracture toughness values of the real compositions. a, b, c and d represent four conditioning cases of interest. (B) Histograms of shear modulus and fracture toughness for compositions generated using the conditions shown in panel (a). The intensity of blue in the histograms indicates a greater number of compositions with the corresponding values of shear modulus and fracture toughness.

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