Grants and Contributions
About this information
In June 2016, as part of the Open Government Action Plan, the Treasury Board of Canada Secretariat (TBS) committed to increasing the transparency and usefulness of grants and contribution data and subsequently launched the Guidelines on the Reporting of Grants and Contributions Awards, effective April 1, 2018.
The rules and principles governing government grants and contributions are outlined in the Treasury Board Policy on Transfer Payments. Transfer payments are transfers of money, goods, services or assets made from an appropriation to individuals, organizations or other levels of government, without the federal government directly receiving goods or services in return, but which may require the recipient to provide a report or other information subsequent to receiving payment. These expenditures are reported in the Public Accounts of Canada. The major types of transfer payments are grants, contributions and \'other transfer payments\'.
Included in this category, but not to be reported under proactive disclosure of awards, are (1) transfers to other levels of government such as Equalization payments as well as Canada Health and Social Transfer payments. (2) Grants and contributions reallocated or otherwise redistributed by the recipient to third parties; and (3) information that would normally be withheld under the Access to Information Act and the Privacy Act.
$25,000.00
Mar 11, 2021
Academia
Geophotonics: Advanced Analytics for Efficient Gold Mining
967255
We propose to combine the hyperspectral imaging tools of coherent Raman microscopy, Surface Enhanced Raman Scattering (SERS) plasmonic sensors, and advanced machine learning for the rapid screening of CMs with respect to their preg-robbing ability.
$199,430.00
Feb 4, 2021
Academia
Catalyst development for CO2 conversion to value-added chemicals using combined DFT-ML and experiment
968585
The Project combines advanced experimental techniques, density functional theory (DFT) and machine learning (ML) to develop and identify active, stable, and selective catalyst materials for CO2 reduction reaction (CO2RR).
$641,300.00
Dec 4, 2024
Academia
Integrating AI, Fluidics, and Bioengineering for a Self-Driving Peptide Therapeutics Discovery Lab
1025435
The goal of this project is to create a self-driving lab (SDL)-based discovery platform for peptides by combining droplet microfluidics, cell-free protein expression, and machine learning (ML)-guided design. This project will use split optical proteins, which are composed of two parts, a peptide and larger protein fragment, as well as insulin, as model peptides and targets for high-throughput screening.
$120,450.00
Nov 1, 2022
Academia
Binder-based additive manufacturing of aluminum: development of fast and safe process parameters
997596
The project will involve the generation of 3D data on the dimensional changes and distortions occurring during the BBAM process stages and apply the data in the development of machine learning models to enable fast adaptation of the initial design.
$78,100.00
Sep 1, 2022
Academia
Using AI to design multi-element non-stoichiometric perovskite oxides as semiconductors and catalysts.
994523
Computational techniques such as density functional theory accelerated by machine learning are essential. The Project will augment available experimental and computational data to design new non-stoichiometric perovskite oxides with a primary objective focused on water-splitting to generate hydrogen using heat, light, electrical bias, or combinations thereof.
$165,392.00
Apr 1, 2021
Academia
Realizing the Potential of AI/ML to Guide Experimental Discovery of Acid-Stable and PGM-Free OER Catalysts.
971729
The Project is a collaboration between Carnegie Mellon University, the University of Toronto, and the National Research Council to develop and apply data-driven and machine learning methods for the experimental discovery of new acid-stable materials promoting the oxygen evolution reaction.
$693,000.00
Mar 27, 2025
Academia
Entangled-Photon Spectroscopy with Quantum Advantage
1027005
Analytical models for simulating and fitting experimental measurements will be developed, as well as machine learning algorithms for accelerating experimental throughput.
$793,100.00
Mar 26, 2025
Academia
Towards Efficient Steel Construction: Redesign, Reduce, and Reuse Strategies for Corrugated Web Plate Girders
1028391
The research will employ numerical simulations, experimental testing, and machine learning models to predict CWG behaviour under critical limit states (e.g., bending, shear, bearing) and enhance the seismic resilience of CWG-column connections.
$352,200.00
Mar 17, 2025
Academia
ARIADNE: platform for Accelerated and pRecisIon pAndemic Diagnostics and iNfection hEalth.
1028742
It integrates NRC's microfluidic technology (PowerBlade) with novel gene circuit-based molecular sensors, facilitated by machine learning algorithms for biomarker refinement.
$300,000.00
Sep 1, 2025
Academia
ATLAS-LIB: Accelerated Technologies for Lithium-ion Advancement through Synergistic Electrolyte-Battery Integration
1034708
The Project aims to transform structure-property-performance relationships between a battery cathode and electrolyte using autonomous experimentation, Artificial Intelligence and Machine Learning (AI/ML) algorithms, and real-time Electrochemical Impedance Spectroscopy (EIS) to enhance the cathode-electrolyte interface, verified by solid-state 7Li NMR (ssNMR).