Program - Day 1

11:00 am – 11:05 am—Workshop Introduction and Welcome

11:05 am – 12:05 pm—Session I: How to Get Started with Materials and Machine Learning

11:05 am - 11:35 am—A Diversity of AI Opportunities Revealed by High Throughput Experimentation
Speaker: John Gregoire, California Institute of Technology

11:35 am – 12:05 pm—Innovating at the Interface: Opinionated Tips for Materials Scientists Exploring Machine Learning
Speaker: Daniel R. Cassar, Ilum School of Science

12:05 pm – 2:20 pm—Session II: Machine Learning and Materials Synthesis

12:05 pm - 12:35 pm—Nuclear Waste Glass Formulation Using Machine Learning Property Models with Prediction Uncertainty
Speaker: Xiaonan Lu, Pacific Northwest National Laboratory

12:35 pm - 1:05 pm—Combinatorial Printing for High-Throughput Materials Discovery
Speaker: Yanliang Zhang, University of Notre Dame

1:05 pm - 1:20 pm— Break

1:20 pm – 1:50 pm—Collaborative Intelligence in Laboratory Materials Research
Speaker:  Shijing Sun, University of Washington–Seattle

1:50 pm – 2:20 pm—Accelerating Inorganic Materials Synthesis and Characterization in Autonomous Laboratories
Speaker: Yan Zeng, Florida State University

2:20 pm—Closing Remarks

Please note: Session times are listed in Eastern Time and the above schedule is tentative.