Reinforced Machine Learning for Material Optimization

3 credits

Reinforced machine learning (RML) has become a revolutionary tool within material science research and reshapes the understanding of materials allowing the precise analysis of complicated material properties and predicting material properties suitable for engineering applications. This course will start with introducing the broad spectrum of machine learning techniques before narrowing down to RML techniques and their application in material property prediction, structure-property relationship, process optimization, and data-driven material discovery. *Note: This course is cross listed with ENGG 832.*