Turbulence-driven flow control for efficient passive and active battery cooling in electric vehicles

This project aims to develop advanced hybrid cooling strategies for electric vehicle (EV) battery systems by integrating turbulence-enhanced flow control with passive air and active liquid cooling methods. Using an unsteady Reynolds-averaged Navier-Stokes k-omega model, the research will investigate the role of turbulence in improving heat dissipation, temperature uniformity, and overall thermal performance. By combining […]

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An Examination of the Biological Impacts of Ocean Alkalinity Enhancement in Halifax Bay via Biogeochemical Observations

The increasing severity of climate change and glacial pace of emissions reform is requiring the development of new strategies for atmospheric CO2 drawdown. One of the approaches that has been gaining traction is Ocean Alkalinity Enhancement (OAE), a method that increases the physical absorption of atmospheric CO2 into the ocean by dispersing alkaline materials in […]

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Electrochemical Sensing Using Electrodes Modified with Anion Exchange Polymers: Towards Portable Testing

The rapidly increasing global use of cannabis and the increasing potency of ?9-tetrahydrocannabinol (?9-THC), the primary psychoactive component, necessitate rapid, sensitive, and portable detection methods for drug screening. Traditional chromatographic and spectroscopic techniques, while accurate, have limitations that hinder their use in point-of-care (POC) and real-life scenarios. Electrochemical sensors offer a promising alternative due to […]

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Intelligent modular electromagnetic mapping instrument for non-contact material characterization

The main objectives of the project are designing, developing, and integrating a high-resolution electromagnetic mapping instrument, with interchangeable sensor arrays or sensor suites for single-sided access, non-contact characterization of materials, by evaluating different electromagnetic properties (i.e., electric conductivity, magnetic permeability, dielectric constant) while using an intelligent modular architecture. Sustainability of new and improved manufacturing methods, […]

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Revue systématique sur l’utilisation des technologies en prévention des troubles des conduites alimentaires : portrait des approches actuelles et recommandations

Le projet vise à identifier les modalités technologiques (ex., application mobile, messagerie instantanée, jeux sérieux, etc.) utilisées dans les interventions existantes pour prévenir les TCA; et comparer leurs efficacités. De plus, ce projet examinera les différents publics cibles et les caractéristiques des individus ciblés par les interventions numériques existantes pour prévenir les TCA. Cela inclut, […]

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Research intern for leaf morphodynamics

The ability for movement to adjust posture and growth in response to environmental stimuli is important for plants as sessile organisms. This project aims to understand how mechanics regulate plant movement by studying leaf movement in Arabidopsis. This research combines cutting-edge imaging and mechanical modeling techniques from both the host institution, Université de Montréal, and […]

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Quantum-enhanced imaging with realistic entangled photons: leveraging quantum dots in a nanophotonic platform

Quantum imaging is a microscopy technique that uses special properties of light to observe smaller features and have higher sensitivity than classical methods, especially in low-light or noisy environments like deep tissue imaging. It uses special quantum properties, such as entanglement, which is often called “spooky action at a distance” and photon-number squeezing, which is […]

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Developing Magnetic Field Maps to Enable the Effective Use of Quantum Magnetometers as a Supplement to Conventional Sensors

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable […]

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A hybrid data-driven quantum approach to expedite molecular wavefunction calculations

Recent studies in quantum computing have demonstrated that the localized unitary Jastrow (LUCJ) ansatz, a promising electronic structure method capable of running on near-term quantum hardware, can surpass exact solutions on classical hardware by using quantum-centric supercomputing. However, scalable and efficient methods for initializing the LUCJ ansatz remain underexplored in current research. We propose a […]

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Unravelling electron and ion transport in graphene-protected silicon anodes

Lithium-ion batteries with silicon anodes have garnered significant attention due to their exceptional theoretical specific capacity of approximately 3,590 mAh/g at room temperature—nearly ten times that of conventional graphite anodes (~372 mAh/g). However, the practical application of silicon anodes faces challenges such as significant volume expansion during lithiation, solid-electrolyte interphase (SEI) formation, and capacity fading […]

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Displacement = Dis(Empowerment)?: Trade Liberalization and Mexico’s Indigenous Migrants

Through semi-structured interviews with current Mexican indigenous migrant men and women and extended family members, my dissertation inquiry focuses on how indigenous peoples – men and women – in Mexico have experienced (and continue to experience) the transition from subsistence to commercial agriculture. The core objective of my doctoral research is to bridge the existing […]

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Exploration des méthodes d’analyse sans contact pour l’indentification des contaminants hivernaux en contexte aéroportuaire

Dans un contexte hivernale de plus en plus changeant, il devient primordial de se doter de méthodes de détection efficaces. Ce projet vise à développer et valider des méthodes de détection des contaminants dans les produits de dégivrage aéroportuaires afin d’optimiser leur efficacité et réduire leur impact environnemental. En combinant des approches analytiques avancées et […]

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