This project aims to make quantum computers more effective at simulating the behavior of molecules, a process vital for developing new medicines and sustainable materials. Currently, quantum hardware is sensitive to “noise” and errors, which makes complex chemical calculations difficult to perform accurately. To address this, the research team is refining a method called Q-SENSE, […]

This project focuses on the development of a method for the direct analysis of solid samples by laser ablation, which is greatly advantageous over methods requiring sample dissolution. It involves minimal sample preparation and eliminates acids and other reagents required for dissolution, thereby making it a greener method of analysis. However, because ablated solid materials […]

Ce projet de recherche vise à créer des matériaux légers et flexibles capables de protéger les appareils électroniques contre les interférences électromagnétiques (EMI), en combinant des nanocouches de MoS2 (un matériau 2D conducteur) avec des cadres organiques covalents poreux (COF) inspirés de la structure de la nacre. Pendant 13 semaines au laboratoire NPNL de l’Université […]

Clean electricity is energy that is both sustainable and non-polluting. Such sources of energy are ideal for mitigating climate change. For the full benefit of clean energy generation to be realized, sustainable practices must be integrated into the development of clean technologies. This requires using materials that are both renewable and recyclable. These can indeed […]

This project will contribute to the development of a leading experiment in physics seeking to observe dark matter particles and a hypothetical nuclear decay process. The experiment is called XLZD. Through the development and execution of sophisticated simulation codes, the performance of XLZD will be evaluated through the calculation of several figures of merit. The […]

This project will develop a computational framework that uses machine learning to automatically discover mathematical formulas for describing the electron arrangements of molecules. The electronic structure problem is of great interest in quantum chemistry, where cost-effective methods that capture electron correlation are essential for industrial and technological applications. Current machine learning methods often act as […]

This project focuses on supporting the commercialization and market entry of a new scientific instrument called Ultrafast Photocurrent Spectrometer. To control the semiconductor material quality, and to test semiconductor device performance, ultimately leading to superior device efficiency and yield, the semiconductor industry needs a critical tool to characterize the electrical figures-of-merit when devices are in […]

Plasmonic nanoparticles can uniquely interact with light, driving chemical reactions through localized high heating. Typically, making these materials is very energy intensive, often needing high temperatures and generating solvent wastes. The proposed project would develop a large scale, solvent free, low energy method for the rapid generation of a range of plasmonic nanomaterials. Additionally, the […]

Unité de stage 1 : Détection intelligente d’anomalies dans les données de consommation issues des Infrastructures de Mesure Avancée (IMA) Dans le contexte de la transition énergétique actuelle et de digitalisation accrue des réseaux électriques, la qualité et la fiabilité des données issues des Infrastructures de Mesure Avancée (IMA) jouent un rôle essentiel dans la […]

This project will focus on the development of a set of quantum computational algorithms/routines for quantum crystallography [1-3] — a field which merges quantum chemistry electronic structure modelling and crystal structure optimization based on information derived from experimental x-ray scattering data. The aim is to look for quantum computational advantage and/or utility for optimizing crystal […]

Increasingly, agrifood processors demand verifiable evidence of sustainable farming practices through producers’ use of best management practices (BMPs) to meet corporate Sustainable Development Goals (SDGs). Food processors also encourage producers to reduce the carbon footprint of crops sold to prairie agricultural processors to meet the same SDGs. Producers, therefore, need to demonstrate the impact of […]

Medical imaging techniques, such as X-rays and CT scans, are vital for the accurately detecting diseases. However, medical imagining techniques subject the patients to ionizing radiation, with the cumulative effect of these repeated imaging procedures over one’s lifetime leading to higher risk of cardiovascular disease and cancer. Children are more vulnerable to radiation effects. To […]