Deep Learning Phase Segregation - Review
The paper Deep Learning Phase Segregation (2018) by Farimani et al. presents a data-driven approach for the learning, modeling, and prediction of phase segregation. The authors use a conditional Generative Adversarial Network (cGAN) to map initially dispersed binary fluid to it's equilibrium concentration field. The authors claim that their deep…