Characterization of flows in complex geometries

Industrial problems are often extremely challenging due to problems involving discrete materials (granular media) and complex shapes (porous media). The issue is two folds: characterization of geometry as well as estabilishing the form-function relationship. We use data science tools such as deep learning and graph networks to understand and model such problems.