Learning

Machine Learning for Materials Discovery

Materials Chemistry Fundamentals → Case Studies in Materials Discovery

This learning path equips graduate students with the skills to apply machine learning to materials discovery. It covers essential chemistry, data handling, feature engineering, property prediction, generative models, and high-throughput screening, with a focus on practical, data-driven approaches.