Faculty Forum Online: Markus Buehler



Smart Design and Manufacturing: Modeling and Making

Computational methods—from AI to 3D printing—are transforming the way materials are designed and manufactured. To succeed in this evolving industry, today’s professionals need a thorough understanding of how these techniques are being used—and how they could be implemented in the future. 

This live webcast from March 30, 2021, features case studies, live demonstrations, and interactive activities. This dynamic, free, one-hour webinar with Prof. Markus Buehler, sponsored by MIT Professional Education, provides an overview of the state-of-the-art computing methods being used to fabricate innovative materials from the molecular scale upwards.

This webinar will help you: 
     • Enhance your understanding of hierarchical design
     • Examine how computational design methods are changing today’s manufacturing landscape, from atoms upward
     • Explore the additive methods, such as 3D printing, and other advanced techniques impacting material design and production
     • Assess coding structure in different manifestations, from Bach’s fugues to geometries to material designs
     • Discover how AI can be used to cross over manifestations, and how advanced computing is revolutionizing engineering practice 

Following the prepared remarks, Prof. Buehler engages in an interactive Q&A with participants. 

About Markus Buehler
Markus J. Buehler is the McAfee Professor of Engineering at MIT. Involved with startups, innovation, and a frequent collaborator with industry, his primary research interest is identifying and applying innovative approaches to design better materials from less, using a combination of high-performance computing and AI, new manufacturing techniques, and advanced experimental testing. He is the lead instructor of the upcoming MIT Professional Education Short Programs course, Predictive Multiscale Materials Design.

Leave a Reply

Your email address will not be published. Required fields are marked *

  +  55  =  56