Instructor: Joshua Tappan and Bryce Meredig, Citrine Informatics; John Mauro, The Pennsylvania State University
This course is intended for materials scientists and engineers who are interested in learning more about the applications of machine learning to ceramics and glass research (and materials research more broadly). Attendees are expected to have little to no exposure to machine learning in their work, as it this is a half-day survey/introductory course.
This course will focus on an introduction to machine learning and materials informatics for materials science with a special focus on ceramics and glass research. The presenters will give participants an overview of machine learning and materials informatics tools and expose participants to specific use cases and success stories of machine learning in glass and ceramics research. John Mauro will also give a presentation titled “Decoding the Glass Genome.”
By the end of the course, participants will be able to:
- Describe how machine learning can impact their research
- Explain the applications of machine learning to ceramics and glass research
- Evaluate publicly available machine learning tools and platforms to incorporate into their research