Advancing Chemical and Materials Science through Machine Learning

10:30 am on Monday, June 14, 2021
5:00 pm on Monday, June 14, 2021
Virtual. Please register in advance on Eventbrite.
Contact Name:
Gina Mantica
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.