Seifallah Elfetni

Auto-encoders and PCA accelerate phase-field simulations with 80% accuracy

Researchers have developed a data-driven framework using auto-encoder neural networks and principal component analysis to significantly reduce the dimensionality of simulated microstructural images, achieving a reductio…