An Inorganic Approach to Molecular Solar Thermal Energy Storage

Our Mitacs application is part of a collaborative program of study to develop the chemistry of molecular solar-thermal energy storage (MOST) materials. For the project, we aim to establish Cu(I) ions as components of MOST materials. The Lescop group (France) has longstanding expertise developing inorganic materials based on Cu(I) wherein the metal ions direct electron […]

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Investigating the finite temperature behaviour of polarons through the Momentum Average method and the Generalized Green’s function Cluster Explansion method.

The description of solid state systems form an intractable many-body problem as every particle is pushed and pulled due to Coulomb’s law by the other particles. It is almost impossible to directly describe every particle in a macroscopic system (with 10^24 particles). A clever solution involves simplifying the many-body problem into a problem of hypothetical […]

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Threats and opportunities for fruit and vegetable supply-chains in BC: A geospatial and survey-based assessment

Climate change is affecting agriculture in Canada in varied and complex ways. While northern areas may experience more favourable conditions for commodity crops, other regions face challenges such as increased temperature variability and extreme weather. Emerging agricultural technologies, including digital agriculture tools, controlled environment agriculture, and advances in agri-genomics, present promising solutions to enhance resilience […]

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Efficient Computational Strategies for Calculating Orbital Energies Using pCCD-Based Methods

This project focuses on advancing computational methods for predicting ionization potentials (IPs) and electron affinities (EAs) of organic molecules, with a specific application to organic solar cells (OSCs). By leveraging Koopmans’ theorem within the orbital-optimized pair-coupled cluster doubles (oo-pCCD) framework, the project aims to efficiently compute these key electronic properties without costly gradient calculations. A […]

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Development of aptamer-based enzyme inhibitors for agricultural applications

DNA is a powerful tool for biological applications, including agriculture, because of its predictable properties and biocompatibility. This project will focus on the development of DNA tools for protection of crops. The ability to use these DNA tools to manage crops in a highly selective, low intensity manner can increase the sustainability of the agriculture […]

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Chemical reaction mechanisms with eXplainable Machine Learning

Deep learning systems can predict properties of chemical substances but do so in a purely mathematical way. As a consequence, the user does not get any feedback on what are the essential properties a chemical must have to exhibit a certain property. This hampers getting any insight in to the relationship between molecular structure and […]

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Superposition of Spacetime

The aim of this project is to study and develop the formalism of spacetime superposition. The focus will be to understand the behaviour of simple quantum systems in the vicinity of black hole horizons. In this physical scenario, both quantum theory and general relativity remain valid, but the question of what happens cannot be answered […]

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QV Studio – Validate 2026 – Naveen

The Inelastic Cooper-Pair Tunneling Amplifier (ICTA) is a DC-powered superconducting amplifier that achieves quantum-limited noise without the microwave pump tones required by all other quantum-limited amplifiers, vastly simplifying cryogenic setups and enabling scalable qubit readout with a 10 GHz gain-bandwidth product and potential operation up to THz frequencies. The purpose of this project is to […]

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QV Studio – Validate 2026 – Anne

Simulation of quantum systems is important for modern technologies. However, obtaining quantum solutions is known to be harder than we can expect to accomplish with any efficient algorithm. The discovery of new technologies is highly reliant on improving existing simulation techniques. Our proposal is to radically reinvent how simulations of quantum problems is performed. We […]

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Generation of Squeezed States in Erbium-Doped Fiber for Quantum-Enhanced Dual-Comb Spectroscopy

This project focuses on improving the sensitivity of advanced laser measurement tools, known as dual-comb spectrometers, by using quantum mechanics to reduce noise below standard physical limits. During a research internship at the University of Colorado Boulder, the student will learn to generate “squeezed” states of light and aim to adapt this cutting-edge technology to […]

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Design and Application of Cu(I) Quaterpyridines in Hydrogen Evolution Reactions

This project is a joint effort between Canadian and German research teams, combining the host supervisor’s knowledge of Ru-based polypyridine complexes and hydrogen evolution reactions with the home supervisor’s specialism in Cu(I) coordination chemistry. The partnership encourages the exchange of ideas and techniques, strengthening international networks and making progress in artificial photosynthesis.

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