Alex Voznyy

Research Projects

Machine learning-enabled discovery of redox agents for electrochemical capture and concentration of CO2

Valeria completed her BSc. in chemistry at Toronto Metropolitan University, and joined the Clean Energy Lab at U of T Scarborough to pursue graduate-level research. Her project focuses on electrochemical CO2 capture, with experimental work guided by computational chemistry and machine learning.

Accelerated discovery of battery materials using ML-predicted projected density of states

Ihor is currently a second-year Ph.D. student in the Department of Physical and Environmental Sciences. After completing his honours B.Sc. degree in Physics at the Taras Shevchenko University of Kyiv, Ihor joined Clean Energy Lab at the University of Toronto, where he works under the supervision of Professor Oleksandr Voznyy. Ihor’s research focuses on accelerating the discovery of materials for clean energy applications with machine learning. Specifically, he develops techniques to predict the electronic structure of materials, aiming to improve renewable energy generation and storage.

Alex Voznyy

Department of Physical and Environmental Sciences

UTSC

Research Focus: Carbon Capture, Utilization and Storage

Research Projects

Machine learning-enabled discovery of redox agents for electrochemical capture and concentration of CO2

Accelerated discovery of battery materials using ML-predicted projected density of states

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