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.

Monday, Jun 14, 2021 at 10:30am until 5:00pm on Monday, Jun 14, 2021
Where Virtual. Please register in advance on Eventbrite.
Open to General Public
Admission is free
More Info Virtual. Please register in advance on Eventbrite.
Hariri Institute for Computing
Gina Mantica
Boston University