fig6

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

Figure 6. SVM performance in predicting the latent features of five couple fields. Parity plots of SVM-predicted feature values vs. AE-reduced feature values of (A) solute compositional field, c, and (B-E) four structural order parameter fields, ηi (i = 1-4). The comparison of latent feature values between SVM prediction and AE-reduced values for a representative microstructure of each field is shown as the inset in each panel. SVM: Support vector machine; AE: autoencoder.

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