Machine Learning in Materials Lifecycle (BOOSTalent)

This course, "Machine Learning in Materials Lifecycle," offers a comprehensive introduction to the intersection of machine learning and materials science. Designed for undergraduate students and business professionals with limited technical background, the course spans five two-hour lectures. It covers the basics of machine learning and materials science. It delves into how machine learning algorithms can be applied across the materials lifecycle—from discovery and development to production, testing, application, and recycling. Through case studies and real-world examples, participants will gain insights into the transformative impact of machine learning on materials science, preparing them for future opportunities and challenges in this interdisciplinary field.

Registration keyword: KAU2023