fig4

Deep learning-enhanced cellular automaton framework for modeling static recrystallization behavior

Figure 4. GND distributions under 7%, 10%, 15% strain (A, E, I) and the predicted distribution for different models: (B, F, J) RF model; (C, G, K) U-net model; (D, H, L) SRX-net. GND: Geometrically necessary dislocation; RF: random forest; SRX: static recrystallization.

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