MIT Short Course - Machine Learning for Materials Informatics (Jul 28-31, 2025)

Machine Learning for Materials Informatics

Instructor: Prof. Markus J Buehler, mbuehler [at] MIT.EDU (mbuehler[at]MIT[dot]EDU) 

Jul 28 - Jul 31, 2025 (3.5 days) 

Learn more here: https://professional.mit.edu/course-catalog/machine-learning-materials-informatics (link to sign-up there)

Material informatics is transforming the way materials are discovered, understood, developed, selected, and used. In this condensed course, you will engage in interactive lectures, clinics, and labs designed to help you learn, design, and apply modern material informatics tools and large-scale multiscale modeling—with the ultimate goal of helping you to speed up your design process and implement cost effective rapid discovery and prototyping in your organization. With data available from autonomous experimentation or large databases and data mining, there exist many opportunities to accelerate and expand your materials design platform. The course involves a mix of lectures, hands-on labs and clinics for an immersive experience. Participants will learn fundamentals and techniques to deploy machine learning in materials development and gain first-hand understanding of state-of-the art tools for varied applications ranging from data mining to inverse design. Topics of emergent interest include multimodal LLMs, multi-agent modeling, and self-driving discovery and other exciting new developments in AI for science and discovery.