Advancing Chemical and Materials Science through Machine Learning

With the expanding use of high throughput computations and experiments, chemical and materials science are primed to take advantage of the advancements in machine learning and data sciences to drive the next generation of energy, biomedical, electronics materials and more. This symposium looks to explore state of the art research in experimental and computational chemical and materials science and their interface with data sciences and machine learning through keynote speakers and focused panel discussions on challenges and opportunities in the fields. This event is co-sponsored by the BU College of Engineering and the Department of Materials Science & Engineering.

When 10:30 am to 5:00 pm on Monday, June 14, 2021
Location Virtual. Please register in advance on Eventbrite.
Contact Name Gina Mantica
Phone 617-353-7942
Contact Email gmantica@bu.edu
Contact Organization Hariri Institute for Computing
Fees Free