fig7

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

Figure 7. Comparison of reconstructed microstructure using SVM-predicted latent features and autoencoder-reduced features. The original microstructure, SVM input parameters for predicting latent microstructural features, reconstructed microstructure prediction, pointwise error plots between reconstructed microstructures of SVM-predicted features and autoencoder-reduced features (ideal), and pointwise error plots between SVM-predicted features and original images for (A) compositional field, c, and (B-E) four structural order parameter fields, ηi (i = 1-4). SVM: Support vector machine.

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