Magnetoelastic coupling in novel quantum spin liquids

A quantum spin liquid (QSL) is a type of magnetic material in which the spins of the electrons are highly quantum entangled. This phase of matter has particularly exotic quasi-particles – ways of increasing the energy of the system that resemble quantum particles, but also have novel properties as compared to those we are accustomed […]

Read More
Structural assessment of Eastern Canada’s transitional unreinforced masonry buildings: case study analysis

This research project will contribute to the preservation of the existing building stock and mitigate potential seismic risks by developing simplified numerical models to contribute to the seismic assessment of local unreinforced masonry (URM) buildings. Old URM structures are a prominent building type across Eastern Canada, contributing to the rich architectural heritage and cultural fabric […]

Read More
Using the Arabidopis toolbox to evaluate the plant growth promoting activity of purified molecules from brown algal extracts

Seaweeds and seaweed products have been promoted in agriculture as source of nutrients and activators, to improve plant growth, plant productivity and food production. A wide range of beneficial effects have been observed, including seed germination, enhanced growth and crop yield, elevated resistance to biotic and abiotic stress. However, the bioactive compounds have not been […]

Read More
Estimation de la variance des estimateurs semiparamétriques de l’efficacité vaccinale avec le devis test-négatif : étude de simulation.

The test-negative design (TND) is an observational study design that is currently and routinely being used globally to evaluate the effectiveness of vaccines against COVID-19 illness caused by emerging SARS-CoV-2 variants. Recently, more reliable statistical estimators were proposed to get better estimates of vaccine effectiveness. However, no one has yet investigated what statistical methods will […]

Read More
Création d’un modèle d’encodage XML-TEI pour les registres de comité de la Comédie-Française (1677-1919)

Ce projet de recherche a pour objectif de créer une édition numérique des registres de comités de la Comédie-Française. Ces registres témoignent de la vie quotidienne de la troupe de théâtre, et sont actuellement conservés à la bibliothèque-musée de la Comédie-Française. Grâce au travail des étudiants et étudiantes de master sous la direction de Florence […]

Read More
Exploring quantum machine and deep learning for malware detection

This project aims to enhance malware detection capabilities through the use of quantum neural networks (QNNs) and quantum machine learning (QML), leveraging quantum computing principles for superior performance compared to classical neural networks. As cyber threats become increasingly sophisticated, QNNs and QML present promising opportunities for breakthroughs in identifying and analyzing malicious activities. We will […]

Read More
Photocatalytic degradation of textile dye wastewater using solar energy

Dye wastewaters from textile industries is toxic and often causes serious environmental damage. In this study, an eco-friendly photocatalytic degradtion process which involves the use of a Ag-ZnO catalyst and solar energy will be used to degrade toxic dyes. Therefore, the main objectives of my reserch over the three month period will be to synthesize […]

Read More
N2SOLVE: A Canadian/French Coordination Chemistry Partnership for Climate Change Solutions

N2SOLVE OVERVIEW: This research pairing between France and Canadian researchers will develop new functional molecules: ligands, transition metal, and main group compounds that promote the equitable use of resources, specifically with regard to the global nitrogen cycle. To ensure the well-being of future generations, innovative approaches that engage sustainable practice must be adopted. With an […]

Read More
Rigorous development of database backends

Using a verification-based approach for database storage backends has the potential to avoid such bugs, but specifying the complexity of a modern backend upfront is a daunting task. To decompose the problem into smaller pieces, we base our approach on the following insights: (1) There are two broad classes of backends: eager, state-based maps, vs. […]

Read More
!Drop impact of non-Newtonian fluids!!!

Le projet portera sur l’étude de l’impact de goutte de fluides complexe qui a de nombreuses applications industrielles ou en géophysique. Nous utiliserons notamment des fluides à seuils qui ont la particularité de se comporter comme des solides lorsqu’il sont faiblement sollicités et comme des fluides quand on a dépassé une contrainte limite dite contrainte […]

Read More