Machine Learning For Materials Design

AY2025/2026 Semester 1

This course is designed to equip you with the essential skills and practical knowledge to harness machine learning techniques for accelerating materials discovery and design. Specifically tailored for students interested in materials science, chemistry, physics, and engineering, it provides hands-on experience with core and advanced machine learning methods-including neural networks, optimization strategies, and generative modeling-to tackle real-world materials science problems. By mastering these data-driven approaches, you'll enhance your research capabilities, prepare for cutting-edge industry roles, and lay a strong foundation for future coursework or careers at the intersection of artificial intelligence and materials innovation.