As one of the most promising pathways to achieve zero-emission targets, Canada and Germany launched their respective hydrogen strategies. Polymer electrolyte membrane water electrolyzers (PEMWEs) for green hydrogen production and hydrogen-fed PEM fuel cells (PEMFCs) for zero-emission vehicles are two technologies considered to be crucial parts of the future hydrogen infrastructure in both countries. Although […]

This project aims to improve carbon capture technologies by testing and optimizing new solvents and process designs for capturing CO2 from industrial emissions. By using advanced computer simulations and experimental testing, the project will help identify the most effective solvents and strategies to reduce the costs and energy needed for carbon capture. The project will […]

Methane is a key greenhouse gas (GHG), and atmospheric methane emissions in Alberta are associated with a variety of industry sectors: sanitary landfills, wood waste landfills, feedlot operations and the oil and gas sector. When the quantities released at individual locations are relatively small, this methane cannot be used as an energy source; therefore, environmentally […]

This project aims to develop a novel wearable microneedle patch that can painlessly measure muscle activity more accurately and comfortably than current technologies, with the potential to transform how neuromuscular disorders like Parkinson’s are diagnosed and managed. It leverages the University of Calgary’s expertise in low-cost, scalable microfabrication techniques and University College Dublin’s expertise in […]

Chemical property predictions using quantum machine learning (QML) lie at the intersection of machine learning, quantum computing, and computational chemistry. QML models often use parameterized quantum circuits (PQCs) that abstract gate-level quantum operations but offer limited flexibility in adjustable parameters. To enhance QML model performance and generalizability, incorporating pulse-level operations, which lie below gate-level in […]

The main aim of the project is to develop the characteristics of a Prosumer, i.e. a consumer that interacts on-line with a company providing useful and insightful comments on its products. Data from consumer interaction databases are will be analyzed using the tools of data mining in order to accomplish the goals of the project..

Finding reliable sources of the metals needed for the energy transition is one of the biggest challenges in the minerals sector. This research project focuses on identifying critical metals such as indium, gallium, and germanium in zinc deposits in the Grenville Province (Ontario). These metals, often present as trace elements in sphalerite (zinc ore), are […]

Weather is a significant driver of daily natural gas and electricity price moves in various North American markets. Weather drives retail energy consumption, which in turn drives market prices through a supply and demand process. The combined volume and price uncertainty is one of the main financial risks for an energy retailer like Direct Energy […]

Biobased products, mostly derived from plant biomass, have the potential to improve the sustainability of Canada’s natural resources and environmental quality while competing economically. Plant biomass, composed primarily of cell walls and modification of cell wall properties has the potential to improve biomass conversion to biobased products such as biofuels. Progress towards achieving this goal […]

Osteoarthritis (OA) is a degenerative joint disease causing pain and disability affecting weight-bearing joints. Unlike knee and hip OA, ankle OA is linked to trauma and remains under-researched despite its impact on mobility and quality of life. Joint kinematics play a key role in OA progression, as altered movement patterns accelerate cartilage degeneration by changing […]

The project leverages artificial intelligence to automate the stenosis and plaque detection for cardiologist and radiologist users in their diagnoses of coronary artery diseases. This will greatly facilitate their workflow in busy clinical settings. By reducing the time required for analyzing each patient case, healthcare professionals can focus more on patient care. Automation can also […]

This project focuses on synthesizing a new class of conjugated polymers incorporating stable, quinoidal units that enhance electronic properties, targeting applications in organic field-effect transistors (OFETs), organic solar cells, and organic electrochemical transistors (OECTs). By designing polymers that feature reduced bond-length alternation, these materials exhibit lower band gaps and high charge carrier mobilities, essential for […]