Grants and Contributions:
Title:
Realizing the potential of atrificial intelligence/machine learning (AI/ML) to guide experimental discovery of acid-stable and platinum group metal-free (PGM-free) oxygen evolution reaction (OER) catalysts
Agreement Number:
970540
Agreement Value:
$473,775.00
Agreement Date:
Apr 1, 2021 - Jun 30, 2023
Description:
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.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Toronto, Ontario, CA M5G 1L5
Reference Number:
172-2021-2022-Q1-970540
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
108162330
Recipient Type:
Academia
Additional Information:
This agreement has been amended 2 time(s). The end date of this agreements has been modified by 90 days.
Amendment Date
Apr 24, 2023
Recipient's Legal Name:
The Governing Council of the University of Toronto
Federal Riding Name:
University–Rosedale
Federal Riding Number:
35110
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710
Amendments: