Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

Ryan Cohn, Elizabeth Holm

Recent developments in graph neural networks show promise for predicting the occurrence of abnormal grain growth, which has been a particularly challenging area of research due to…