Meeting Resources

November 2–4, 2021

Online Course

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Register by October 8, 2021, for the best rate.

Artificial intelligence (AI) is captivating the broad interests of scientists and engineers, entrepreneurs and government leaders, and researchers and educators. An explosion of new research, publications, and symposia offers exciting opportunities related to materials. Through the online course, Artificial Intelligence in Materials Science and Engineering, a team of experts will give an overview, discuss important new developments in AI, and convey the powerful impact of AI on materials science and engineering and related manufacturing processes. Attendees will build upon their knowledge to accelerate processes, reduce costs, and innovate products through AI.

Course Modules

  • The Road to AI: A Historical and Computational Perspective
  • Introduction to Machine Learning (ML) and Deep Learning for Materials Science
  • Computer Vision for Microstructural Analysis
  • 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 who 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.

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Conference Sponsors and Organizers

This course is being organized by the following individuals:

Instructors

  • Ankit Agrawal, Northwestern University
  • David Blondheim, Jr., Mercury Marine
  • Samantha Daly, University of California at Santa Barbara
  • Sayan Ghosh, General Electric Research
  • Vipul Gupta, General Electric Research
  • Elizabeth Holm, Carnegie Mellon University
  • Benji Maruyama, U.S. Air Force Research Laboratory Materials & Manufacturing Directorate
  • Bryce Meredig, Citrine Informatics
  • Kristofer Reyes, University at Buffalo
  • Marius Stan, Argonne National Laboratory (retired)

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

For More Information

For more information about this course, please contact:

TMS Meeting Services
5700 Corporate Drive Suite 750
Pittsburgh, PA 15237
Telephone:
U.S. and Canada Only: 1-800-759-4867
Other Countries: 1-724-776-9000, ext. 241
Fax: 1-724-776-3770