Open House: Machine Learning for Materials Informatics

From machine learning to data analysis and visualization to molecular and multiscale modeling, AI-powered informatics tools are transforming the way materials are discovered, designed, and used. In our live virtual course, Machine Learning for Materials Informatics, you’ll learn how to leverage advanced technologies to optimize your design processes and cut the development time of new materials—from decades to weeks.
 
Wondering if the course is right for you? Our Virtual Open House is your chance to:

• Meet lead instructor Markus J. Buehler, the McAfee Professor of Engineering at MIT and a globally-renowned materials scientist
• Discover how the curriculum can help you improve the speed, efficiency, and cost-effectiveness of your development processes
• Determine how the course can help you transform your career and solve your unique challenges
• Ask your questions during a live Q&A session

Questions? Contact us at  shortprograms@mit.edu. 

Register Now.