Open House: Applied AI for Materials Discovery and Generative Multiscale Materials Design: Physics, AI, Manufacturing
What if AI could invent matter itself?
For decades, discovering new materials meant years of lab work and educated guesses. That is changing fast. AI agents are now doing what researchers once spent careers on, reasoning through design spaces, proposing candidates, and iterating in real time. The engineers and scientists who know how to build and deploy these systems are working at a different speed than everyone else.
MIT Professor Markus J. Buehler is one of the researchers pushing that boundary, and this spring he is opening the door to two of his summer courses with a free virtual open house.
Applied AI for Materials Discovery and Generative Multiscale Materials Design cover different ground but belong on the same journey. One gets you deploying AI agents for discovery. The other takes you all the way to physically manufacturing a custom smart material using autonomous AI systems.
At the open house, Professor Buehler will walk through both courses, explain how they differ, and help you figure out which one makes sense for where you are in your work right now. Then the floor is open for questions.
Applied AI for Materials Discovery: July 27-30, 2026, live online.
Generative Multiscale Materials Design: July 20-23, 2026, on campus and live online.