Meeting Resources

April 3–5, 2023 • Online Course

Registration is now closed.

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Artificial intelligence (AI) is attracting the interest of scientists and engineers, entrepreneurs and government leaders, and researchers and educators. Within the study of materials science and engineering and related manufacturing processes, in particular, there has been an explosion of new research, publications, and symposia. Through the Artificial Intelligence in Materials Science and Engineering course, participants will benefit from the guidance of a team of experts to gain an overview, learn about important developments in AI, and review the impact of AI on materials science and engineering and related manufacturing processes. Attendees will build upon their understanding of how AI can help to accelerate processes, reduce costs, and innovate products.

Planned Modules

  • Introduction to AI in Materials Science
  • Introduction to Machine Learning and Deep Learning for Materials Science
  • Computer Vision with Deep Learning for Materials
  • Autonomous Research: Theory and Implementation
  • AI/ML for Materials Manufacturing: Understanding the Applications, Building Predictive Modeling, and Uncertainty Quantification

Who Should Take This Course

  • Anyone involved in AI projects and wishes to gain practical insight and knowledge, including industry professionals, researchers, and university students, as well as leaders and managers who would like to have a deeper understanding of AI in materials science and engineering and related manufacturing processes.

For course details, visit the Course Curriculum and Instructors webpages, and then complete your registration.


Discount Registration Deadline:
March 9, 2023

Course Dates:
April 3–5, 2023

On-Demand Access Closes:
May 8, 2023


Conference Sponsors and Organizers

This course is being organized by the following individuals:


  • Benjamin Afflerbach, University of Wisconsin-Madison
  • Ankit Agrawal, Northwestern University
  • Raymundo Arróyave, Texas A&M University
  • David Blondheim, Jr., Mercury Marine
  • Sayan Ghosh, General Electric Research
  • Vipul Gupta, General Electric Research
  • Ryan Jacobs, University of Wisconsin-Madison
  • Benji Maruyama, Air Force Research Laboratory
  • Bryce Meredig, Travertine Labs LLC
  • Dane Morgan, University of Wisconsin-Madison
  • Kristofer Reyes, University at Buffalo – The State University of New York

Go to the Instructors section to view bios and learn more about their research and professional experience.

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For More Information

For more information about this course, please contact:

TMS Meeting Services
5700 Corporate Drive Suite 750
Pittsburgh, PA 15237
U.S. and Canada Only: 1-800-759-4867
Other Countries: 1-724-776-9000
Fax: 1-724-776-3770