Modeling and Simulation of Glass Materials and Processes

This topic highlights computational approaches for understanding and predicting the behavior of glass materials and vitrification processes. It covers atomistic simulations, thermodynamic modeling, multiphysics approaches, and computational fluid dynamics, as well as machine learning and artificial intelligence. Particular attention will be given to multiscale modeling, predictive composition–structure–property relationships, process optimization, and the development of digital twins.