Centre de Mise en Forme des Matériaux

Predicting grain growth in polycrystalline materials using deep learning time series models

Grain growth strongly influences the mechanical behavior of materials, making its prediction a key objective in microstructural engineering. In this study, several deep learning approaches are evaluated, including recurrent neural networks (RNN), long short-term memory (LSTM), te...