fig2

Accelerating phase-field simulation of coupled microstructural evolution using autoencoder-based recurrent neural networks

Figure 2. Microstructural evolutions for Ostwald ripening. The screenshots of representative microstructure images of five coupled fields, including one compositional field (c) and four structural order parameters (ηi, i = 1-4) with distinct microstructure features. The input parameters include mobility (M), average initial composition (ca), and final composition (cf) for four panels are: (A) M = 4.811, ca = 0.545, cf = 0.276; (B) M = 4.864, ca = 0.500, cf = 0.279; (C) M = 4.993, ca = 0.481, cf = 0.344; (D) M = 4.717, ca = 0.499, cf = 0.187.

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