Development of rheological methods to investigate the viscoelastic behavior and stability of paints

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Development of rheological methods to investigate the viscoelastic behavior and stability of paints – Year two

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Evaluation of a radiomic approach based on hyperspectral retinal imaging to predict the cerebral amyloid status for the diagnosis of Alzheimer’s disease

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current […]

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Ciena OPn Innovation WP 1.1.6 – High Speed Low Power Transceiver

The intent of this project is to address the high-speed electronic portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, modelling, packaging and […]

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FABJRP, Towards a Fully Automated Bilingual Job Recommendation Platform

Recruitment of future employees is an essential activity in any organization, yet it is tedious and error-prone. Substantial effort is spent in rote tasks like finding candidates matching a particular job offer, contacting them, scheduling an interview and performing the actual interview, while the more interesting tasks like making a final decision on who to […]

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Predicting the Behavior of Loyalty Programs Customers Using Interpretable Patterns Based on Logical Analysis of Data

Aeroplan Inc. (“Aeroplan”) , aims to redesign and optimize its loyalty program Aeroplan via a collaboration with Polytechnique Montréal. Customers affiliated with Aeroplan’s program earn miles through their purchases and can exchange these miles for various gifts. It is essential for Aeroplan to predict customers behavior, to define the causes of certain behaviors and to […]

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A precalibrated rate-dependent constitutive model for cyclic softening

When an earthquake happens, the soil underneath structures loses all or parts of its resistance. This condition is called liquefaction (for loose sands) or cyclic softening (for sensitive clays) as the soil acts as water during the earthquake. Liquefaction or cyclic softening can damage considerably man-made and natural earth structures and cause serious loss of […]

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Centrifuge modeling of liquefaction in layered silty sand deposits

Soil liquefaction or excess pore water pressure buildup reduces a soil’s stiffness and strength and can result in significant damages during earthquake shaking. The current state of practice on liquefaction evaluation techniques relies mainly on simplified empirical procedures based on case observations and free-field laboratory testing which have been widely limited to clean sands (zero […]

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3D Time-Domain Finite Element Modeling of Nonlinear Conductive/Ferromagnetic Thin Films

This internship project proposes to develop a new approach to model electromagnetic nonlinear thin regions, such as those encountered in various electrical devices and, for example, constituted by superconducting materials. In fact, it seeks to reduce the computational costs in simulations of devices made of thin layers and consequently allowing more realistic simulations, which is […]

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Implémentation et validation d’une approche multi-échelle pour la réponse matérielle en phase de rentrée atmosphérique

Les boucliers thermiques servent à protéger les véhicules spatiaux des fortes contraintes thermiques auxquels ils sont soumis lors de la phase de rentrée atmosphérique. En dissipant cette énergie par plusieurs mécanismes physiques, ils garantissent l’intégrité du véhicule. Afin de mieux les comprendre, on se propose ici de réaliser une étude numérique en simulant ces différents […]

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Développement d’un outil d’analyse de texte assistée par ordinateur permettant de classifier les entreprises dans l’écosystème de la 5G au Canada

Prompt doit identifier les PME qui ont un fort potentiel de croissance au sein de l’écosystème canadien de la 5G. Dans ce contexte, la recherche propose d’exploiter une base de données textuelles. Elle est constituée par les sites internet de 7 000 entreprises. Cette base de données a déjà été construite par Prompt. Le premier […]

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