Toward Accurate Bond Breaking: Revising Natural Orbital Functionals in RDMFT

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]

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L2M – Commercialization of Fluroine-free Ultra Water-repellent Coating Technology

The main applicant is leading a research-based venture spun out of Simon Fraser University that has developed a patented, PFAS-free ultra water-repellent (superhydrophobic) nanocoating technology. Our technology offers a more environmentally-friendly alternative to incumbent water-repellent coatings. The current goal of the venture is to explore the best technology-market match to commercialize the technology. Key operation […]

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Superconducting quantum analog simulator for fundamental physics

This project will explore the use of quantum technologies to simulate physical systems relevant to particle physics, with a focus on neutrino behavior. The goal is to build an analog quantum simulator: a special device whose components are designed to naturally follow the dynamics of the system being studied. The platform will be superconducting circuits, […]

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L2M – Forge Climate Business Development

Cement manufacturing is responsible for approximately 8% of global CO2 emissions, equivalent to all gas-powered passenger vehicles on the road today. The primary emissions source is the high-temperature decomposition of limestone, a process deeply embedded in traditional cement production. Forge Climate is tackling this challenge with a novel, electricity-driven solution: the cement electrolyzer. Powered by […]

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Preparing NEXT to Study Exotic Nuclei on a One-Atom-at-a-Time Scale

This research project supports the development of the NEXT experiment in Groningen, which studies rare, short-lived atomic nuclei important for understanding how the heaviest elements in the universe are formed. These special nuclei, produced in high-energy reactions, are difficult to make and study due to their low production rates and short lifetimes. The intern will […]

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L2M Launch / Qc Fall 2025 / Photonic switch for next-generation telecom interconnect

Ce projet vise à établir une stratégie de commercialisation viable pour la mise en marché d’un produit dérivé de travaux de recherche publique réalisés par le stagiaire. Le projet développera ce modèle pour un nouveau type de commutateur photonique, conçu pour répondre aux besoins émergents des centres de données, notamment en réduisant leur consommation énergétique […]

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TRLUP – Développement et validation du flacon digital pour l’optimisation de réactions organiques simples

Le projet vise le développement du flacon digital, c’est-à-dire une approche de simulation numérique qui permet d’étudier des réactions chimiques et de prédire les produits qui seront observés en laboratoire. Le flacon digital fournit une vision moléculaire des différentes réactions chimiques possibles, ce qui est autrement impossible à obtenir directement. Une première application de celui-ci […]

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TRLUP-Developing kits for self-monitoring of steroid hormone at home (Estrogens, Androgens, and Glucocorticoids)

Our project is focused on developing portable biosensors that let anyone measure steroid hormones—like androgens, estrogens, and glucocorticoids—without needing to send samples to a lab. These tools were first designed to help monitor wildlife health, especially for caribou populations important to Indigenous communities, but they also have huge potential for human health. As scientists, we’re […]

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Recurrence analysis of neuronal behaviors and networks

The goal of this project is to bridge the fields of neuroscience and nonlinear dynamics by leveraging advanced machine learning algorithms to analyze recurrence patterns in neural wave data. Specifically, the project focuses on studying traveling cortical waves – a fundamental phenomenon in brain activity – using recurrence quantification analysis enhanced by machine learning techniques. […]

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TRLUP – Conceptual study of next-generation spacecraft components

The global space sector has seen massive growth in recent years, fueled by lower launch costs and increased commercial access. Yet, many spacecrafts still rely on decade-old hardware designs. Innovation in spacecraft components remains limited. The industry’s strong preference for “space heritage” makes it slow to adopt cutting-edge systems, even if they are flight-proven by […]

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