Abstract: The Paris climate agreement has set a target of net-negative global emissions by the year 2050. This will require tremendous effort not only on transitioning all electricity generation and transportation to renewables, but also developing efficient ways to capture and store carbon dioxide. Intermittency of renewable solar and wind impedes their adoption and requires low-cost and scalable energy storage solutions. In this talk, Professor Voznyy will speak on developing new materials for Li-ion batteries, hydrogen storage, CO₂ capture, and photovoltaics; utilizing atomistic simulations, machine learning, automated high-throughput materials synthesis and characterization to demonstrate proof-of-principle devices that will speed-up the transition to renewables.
Olekzandr (Alex) Voznyy is a Professor in the Department of Physical & Environmental Sciences at the University of Toronto Scarborough with a research focus on Clean Energy. Named a highly cited researcher in 2020 in Materials Science by Web of Science, his research interests are materials for energy storage, and novel materials discovery using high-throughput experiments and machine learning. He is also an Associate Editor at Applied AI Letters, Wiley.
Great Explorations, is a series of academic discussions we hope will inspire our communities. Our special thanks to our engaged, critical thinkers who attend our speaker series. The dialogues that came out of these talks, both in-person and online via Zoom, are integral to our campus community and Scarborough communities at large. We welcome your input for future topics, as well as a review of previous recorded sessions available on YouTube.