Grants and Contributions

The goal of this project is to better constrain the formation of clay minerals on Mars through Mars analogue missions deployed at three clay-bearing terrestrial field sites with two comparable EMRF (ExoMars Rosalind Franklin rover mission) instruments. This project aims to provide insights into further development and validation of these instruments and train the next generation of planetary explorers. The objectives of this work are to provide additional inputs into the design and validation of the instrument “Enfys” – the newly funded spectrometer replacing the former Russian ISEM instrument, to develop mission procedures and protocols tailored for identifying and characterizing clays with Enfys with PanCam (Panoramic Camera), and to determine if the mineral/spectral characteristics of clays collected from different geologic settings are sufficiently distinct to differentiate between different clay-formation scenarios. The analogue missions will be executed at three field sites: one meteorite impact, a volcanic site and one surface weathering site.

Project activities include: (1) funding feasibility and technical studies on new technologies; (2) developing climate action plans with private sector companies; (3) identifying trends that they can use to replicate and scale successful initiatives; (4) increasing awareness and developing action plans for gender equality and diversity; (5) supporting financial institutions in implementing recommendations from the Task Force on Climate-related Financial Disclosures and the Task Force on Nature-related Financial Disclosures; and (6) documenting case studies and sharing lessons learned with interested stakeholders.

It also provides targeted technical assistance to support gender lens investments, increase opportunities for women in existing infrastructure investments, document and share lessons learned on gender and infrastructure.

The project will focus first on increasing efficiency by quickly and cost-effectively generating machine learning datasets with adjustable features, making it possible to generate aluminum and steel microstructures with variations in process parameters and sample preparation conditions.

The purpose of this program is to increase Canadians' access to flood hazard information and maps in order to make informed decision-making related to flood mitigation, land use planning and prevent costly impacts of flood.

This project focuses on the investigation, development, and advancement of enabling technologies related to conformal reconfigurable intelligent surfaces and beamforming antenna technologies to enhance the performance of millimeter-wave wireless links, particularly in non-line-of?sight scenarios. These advancements encompass improvements in radiating surfaces, phase and high efficiency amplitude control for millimeter-wave integrated circuits, flexible substrates, materials, and conductive ink for printable surfaces. These efforts aim to address one of the most crucial and promising emerging wireless technologies. Additionally, the project aims to create technologies and solutions that enable broadband access, particularly in remote and rural areas.

Synthetic chemistry methods are normally Edisonian-based (i.e., trial-and-error) and often will rely on experiential knowledge to synthesize chemically stable materials. Machine Learning (ML) approaches, that are based on Deep Generative Modeling (DGM), are commendable alternatives for novel materials discovery due to their impressive ability in analyzing robust chemical design space.

Advances exploratory research under the New Beginnings Initiative

Advances exploratory research under the New Beginnings Initiative

The project aims to automate chemistry labs by developing transferable, adaptable, and generalizable robotic systems using Reinforcement Learning (RL). The project is designed to tackle the challenges of integrating robotic arms into chemistry labs, focusing on minimizing data requirements and enhancing real-world applications of RL.