Learning

Statistical Methods for Materials Discovery

Foundations of Statistical Mechanics → Machine Learning for Phase Stability

This learning path equips materials scientists with the statistical and machine learning tools needed for high-throughput materials discovery, with a focus on phase stability prediction. It bridges statistical physics, thermodynamics, and modern data-driven approaches, providing a practical foundation for applying these methods in research and industry.