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Figure 1. Workflow of accelerated phase-field framework for Ostwald ripening problem. (A) High-throughput phase-field simulations of generating database of 2D microstructure images for five coupled fields in Ostwald ripening; (B) Dimensionality reduction of 2D microstructural images into latent space using autoencoder; (C) LSTM-based machine learning engine to accelerate the microstructure prediction in latent space; (D) Reconstruction of latent microstructures back to original 2D space using well-trained autoencoder models, along with machine-learning prediction of feature correlation between the coupled phase fields. 2D: Two-dimensional; LSTM: long short-term memory.