Predicting Material Properties from Electronic Band Structures: Integrating Machine Learning with Computational Modeling Techniques

The project involves the development of a machine learning model which can predict targeted properties of materials from their band structure. Computational modeling methods, such as ab initio (quantum chemistry) calculations, Density Functional Theory and Molecular Dynamics, enable us to calculate properties of materials from their crystalline structure. The band structure is a representation of […]

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A techno-economic analysis of the potential for the capture and transportation of carbon dioxide for utilization as an industrial feedstock in Nova Scotia

Nova Scotia plans to become a major player in the global hydrogen market. The province wants to produce green hydrogen and green ammonia using renewable electricity. Hydrogen, ammonia, and carbon dioxide are three precursors to products that will be essential to a sustainable future: Methanol can be produced by combining green hydrogen and carbon dioxide, […]

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Sustainable Hydrogel Filters for Efficient Microplastic and Nanoplastic Removal in Wastewater

Micro- and nanoplastic (MP/NP) pollution is a pressing global issue resulting from the widespread use of plastics. These minute particles, present in everyday products, accumulate in the environment, even being detected in infant feces and blood. Addressing this concern is paramount, with wastewater treatment processes (WWTPs) playing a pivotal role. However, conventional WWTPs encounter challenges […]

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Power Quality Improvement at Sunnybrook Health Sciences Center

Sunnybrook Health Sciences Centre, a major hospital and medical research facility in Toronto, is fed from a portion of the electrical grid that is subject to numerous short power dips. These dips can cause significant issues within the hospital. A newly installed generator was found to not only produce electrical power but also help support […]

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Deep Learning for Automation of 3D Pore Analysis in Micro-CT Tomographs

This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

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Advance Electrohydrodynamic Enhance Phase Change Thermal Storage

This research is motivated by a critical need for novel devices and technologies to harvest and store “lost” thermal energy energy at a time when societies around the world are facing surging energy demand. Solid-liquid phase-change materials (PCMs) are attractive solutions as they have a relatively high thermal capacity because of the latent heat of […]

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Multicriteria Optimization of Agricultural Machine Operations

Careful operational planning is essential for making agriculture autonomous and sustainable. The movements of agricultural equipment in the farm can be optimized to increase productivity and reduce costs and greenhouse gas (GHG) emissions. The aim of this project is to develop and productize advanced optimization algorithms to determine the best end-to-end machine routes, positions of […]

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Evaluating the viability of electroanaesthesia and chemical anaesthetic options in juvenile lake sturgeon (Acipenser fulvescens)

All five sturgeon species in Canada are considered at-risk. Conservation research on sturgeons often involves capturing wild sturgeon and performing procedures like tagging surgeries, so we can better understand their ecology in waters that are often impacted by human activities. In this project, we will work with our partner organisation, BC Hydro, to try to […]

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