Fig. 1: Machine-learned surrogate model for accelerating phase-field based microstructure evolution predictions. | npj Computational Materials

Fig. 1: Machine-learned surrogate model for accelerating phase-field based microstructure evolution predictions.

From: Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

Fig. 1

a Data preparation to generate training and testing phase-field data sets. b Low-dimensional representation of the microstructure evolution. c Time-series analysis using a long short-term memory (LSTM) neural network to predict the time evolution of the microstructure principal component scores. d Prediction from the accelerated phase-field framework based on the first three steps.

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