Learning Path

Fundamentals of Materials Science → Deep Learning Architectures for Materials

This advanced graduate-level path equips learners with the knowledge and skills to apply machine learning to materials science challenges, covering property prediction, generative design, high-throughput screening, and machine-learned interatomic potentials. It integrates core ML concepts with materials data and domain-specific workflows, culminating in practical applications.