Feb 2023
Our group works on discovering materials, and then developing and studying prototype systems, for:
This work has long relied on materials chemistry, applied physics, and engineering; increasingly we are also levering computational materials science and computational chemistry; as well as machine learning, ideally the learning being done off of the union of experimental laboratory data (acquired in high throughput) and computational data sets.
I will discuss our recent progress in these areas; and also talk about how the glass is (at least!) half-empty: I will argue for the need to accelerated progress in cleantech solutions, and talk about some ways in which, working together, we can progress further, faster.
Ted Sargent received the B.Sc.Eng. (Engineering Physics) from Queen’s University in 1995 and the Ph.D. in Electrical and Computer Engineering (Photonics) from the University of Toronto in 1998. He was a faculty member at the University of Toronto from 1998-2022; and spent sabbaticals at MIT (Microphotonics Center), UCLA (Fulbright Visiting Professor), Berkeley (Somorjai Visiting Miller Professor), and Harvard (Rowland Institute Visiting Distinguished Scholar). He founded and served as CTO of InVisage Technologies. His publications have been cited 100,000 times.
In 2022, he moved to Northwestern University, where he is appointed in Chemistry and in Electrical and Computer Engineering and is the Lynn Hopton Davis and Greg Davis Professor.