Les mousses polyuréthane sont largement utilisées dans l’isolation thermique à cause de leur faible conductivité thermique, mais leur origine fossile soulève des préoccupations concernant leur impact environnemental. Ce projet propose de développer une mousse polyuréthane plus durable en intégrant du biochar dans sa formulation. Le biochar est un matériau biosourcé issu de la pyrolyse de […]

Face aux enjeux environnementaux actuels, le secteur du bâtiment est un consommateur majeur d’énergie. En effet, la terre crue constitue une solution prometteuse pour répondre aux défis du réchauffement climatique, notamment en matière d’économies d’énergie et de préservation des ressources naturelles. Toutefois, la sensibilité à l’eau des matériaux terreux limite leur durabilité et freine encore […]

le projet développe des modèles prédictifs pour anticiper la demande future, permettant ainsi de stabiliser la planification et de réduire les achats d’urgence coûteux. Simultanément, une analyse rigoureuse des flux financiers identifiera les opportunités d’optimisation budgétaire et évaluera la performance de l’écosystème de fournisseurs. L’originalité du projet réside dans la conception d’un modèle capable de […]

This project aims to improve the efficiency of hydrogen fuel cell systems by testing and optimizing how they operate in real laboratory conditions. The work will be carried out at the Hydrogen Research Institute of Université du Québec à Trois-Rivières, using an experimental fuel cell test bench, and in collaboration with the Université internationale de […]

Localized surface plasmon resonance underpins numerous applications, including plasmonic sensing, energy conversion, and cancer therapy. However, understanding how structural and compositional factors govern plasmonic resonances in increasingly complex sample architectures is challenging. Electron energy loss spectroscopy (EELS) in transmission electron microscopy (TEM) is a powerful method for probing electronic characteristics of plasmonic materials at the […]

Ce projet vise à concevoir et mettre en place un montage expérimental destiné à caractériser le stockage d’énergie dans des réservoirs d’eau. L’objectif est de mieux comprendre les phénomènes hydrodynamiques associés au remplissage, à la vidange et au comportement transitoire de ces réservoirs dans un contexte de stockage d’énergie. Le stage se déroule au Département […]

This project aims to develop and test a “digital twin” (a realistic virtual copy) of an Urban Air Mobility system, such as air taxis operating in a city, to support safer and faster operational decisions. Using a simulated city environment of Montréal and realistic flight scenarios, the project will model key elements such as vehicle […]

The proposed project aims to develop an affordable, real-time inspection system for nano-thin films used in industries such as solar energy, batteries, and advanced electronics. By enabling manufacturers to monitor film thickness and uniformity across large areas during production, this technology will help reduce defects, improve product quality, and increase manufacturing yields. The project will […]

This project develops an automated control system to reduce manufacturing defects in sustainable composite materials made from natural fibers like flax and hemp. These eco-friendly materials could replace plastics in cars and airplanes, but current production creates wrinkles that weaken products and increase waste. The visiting researcher from France will design a system that applies […]

This project aims to advance the commercial launch of a new type of high-performance filtration membrane, made from a durable and reusable material called PEEK, for use in biopharmaceutical manufacturing. Building on prior market validation efforts, the focus of this phase is to finalize a target market, define a launch-ready product offering, and develop a […]

At PhantasiAI, we disrupt neurotechnology by orchestrating an AI stack that powers non-invasive neurostimulation to power human mobility. This closes the motor precision training insufficiency gap, reduces its burden on the healthcare system, and ignites everyone to move better. This AI-stack is embedded in affordable customized hardware capable of: (I) Generating adapted neurostimulation (II) Analyzing […]

This project addresses the complex production and inventory challenges at NWC’s assembly facility, which manages 150 SKUs with 26 requiring specific setups. With finite production capacity and storage constraints, the current system struggles to maintain optimal stock levels. The primary objective is to develop a dynamic production planning model using Reinforcement Learning (RL). This AI-driven […]