2 papers
cond-mat.mtrl-sci2026
Bridging Phase-Field Model and Deep Learning for Predicting 2D and 3D Microstructure Evolution in Ternary Alloys
Owais Ahmad, Aravind K, Naveen Kumar +3
We develop a hybrid framework that integrates a phase-field model (PFM) with an attention-enhanced deep learning (DL) architecture to study ternary spinodal dealloying, a sophistic…
cond-mat.mtrl-sci2023
Accelerating microstructure modelling via machine learning: a new method combining Autoencoder and ConvLSTM
Owais Ahmad, Naveen Kumar, Rajdip Mukherjee +1
Phase-field modeling is an elegant and versatile computation tool to predict microstructure evolution in materials in the mesoscale regime. However, these simulations require rigor…