Optical gyroscopes are instruments capable of measuring rotations. The creation of miniature optical gyroscopes could lead to the development of self-navigating small crafts such as drones. Microresonator-based optical gyroscopes, where light is trapped in a ring-like structure and propagates differently depending on whether it is moving clockwise or counter-clockwise, are the best candidates to create […]

Au cours des 10 dernières années, de nouveaux catalyseurs de plus en plus performants ont été développés pour la réaction de cyclopropanation impliquant des dérivés diazoïques. La première phase du projet visera à les tester dans la réaction de cyclopropanation d’alcènes impliquant des dérivés de diazomalonates, une classe de réactifs qui s’est avérée très capricieuse […]

Polyoxometalates (POMs) represent a class of inorganic compounds, which are cluster compounds that can be formally described as oxo-metal complexes. Prominent transition metals are molybdenum and tungsten from group 6 and vanadium, niobium and tantalum from group 5 of the periodic table. A popular research area in POM chemistry is the selective substitution of one […]

Medventions is a full-time 14 week paid program that allows students and new graduates to take part in physician-led, hospital-based fellowship training. Fellows come from different areas of study and will get hands on experience in a clinical setting with innovators and experienced mentors. It equips fellows to identify priority healthcare needs and develop their […]

This project deals with chemical reactions between carbon suboxide and strong carbon-based bases. Carbon suboxide is the bigger relative of carbon dioxide with two more carbon atoms between the outer oxygen atoms which makes it much more reactive. The reactivities of carbon monoxide to common organic molecules have been reported mid-to-end of last century. The […]

La découverte récente de matériaux bi-dimensionnels (2D) possédant une structure stable a révolutionné la physique de la matière condensée. Ils permettent d’obtenir un confinement des porteurs et une réduction ultime des tailles des composants microeélectroniques. L’exemple le plus connu est le graphène qui est composé d’une couche monoatomique d’atomes de carbone d’hybridation sp2 « flottant […]

Hydrogen fuel cell technology plays an important role in reducing our reliance on fossil fuels, helping to meet Canada’s Sustainable Development Goals. Fuel cell performance largely relies on the composition of its catalyst layers, which contain carbon supported nanocatalysts and an ion-conducting polymer. The catalyst layer facilitates generation of electricity from the combination of hydrogen […]

Quantum technology is advancing rapidly, particularly Noisy Intermediate Scale Quantum (NISQ) systems. With their increasing accessibility and industry interest, there’s a need to measure their performance, especially in the presence of non-Markovian noise. Currently, error correction methods are in development, and information on Quantum Processing Unit (QPU) performance is scarce. Our research addresses this by […]

Molecular artificial photosynthesis is a promising solution to achieve independence of finite fossil fuels and provide an environmental and climate-benign energy supply. In this context, molecular hydrogen is a powerful fuel and consequently the development of molecular photocatalytic systems for the hydrogen evolution reaction (HER), half-reaction of the water-splitting process, is one of the great […]

Precision measurements of the Hydrogen 1s-2s energy transition are key to verifying theoretical predictions and fundamental physics. The project at the Federal University of Rio de Janeiro (UFRJ) in Brazil is to perform the highest precision measurement of hydrogen using a new cold hydrogen beam, built at UFRJ, and a high power UV 243-nm laser […]

PROJECT OVERVIEW MISSING – NEEDS TO BE UPDATED INTO MOL

Reduced Density Matrix Functional Theory (RDMFT) has emerged as a powerful tool for the characterization and prediction of electronic properties in quantum systems. This research project seeks to elevate the capabilities of RDMFT, particularly in the context of spin systems. In particular, we will develop Quantum Optimal Transport techniques for extracting electronic spin information and […]