The Governing Council of the University of Toronto

Published purpose

The Project will develop and apply data-driven and machine learning methods to the experimental discovery of new acid-stable materials for the oxygen evolution reaction. The Project comprises the University of Toronto portion of a three-way collaboration between the National Research Council, the University of Toronto, and Carnegie Mellon University. Overall, the collaborative Project will seek to develop the necessary datasets and methods needed to investigate an important class of candidate materials: mixed metal oxides. Additionally, the Project will investigate generative models to improve the relevance of identified candidates and to accelerate the experimental testing methods of these as well their synthesis and characterization. The University of Toronto will optimize the synthesis methodology and proceed to synthesize and fully characterize a number of candidate materials identified using the accelerated testing methods developed.