2022 Pownall Lecture

Using Machine Learning to Improve Quantum Chemistry and to Advance Student Learning

PRESENTED BY DAVID YARON, PHD

STARK LEARNING CENTER 105

Learn more about how data science impacts two distinct research areas that address long-standing challenges in chemistry: quantum chemistry and student learning. Tools of deep machine learning can help develop low-cost quantum chemistry models that are both computationally fast and accurate. In student learning, open learning initiatives gather millions of records on how students learn chemistry, critical in helping to improve teaching and learning.
This lecture is free and open to the public.