L2M – A biosensor for the detection serum breast cancer markers

This Mitacs Business Strategy Internship (BSI) Grant Application is focused on developing an analytical assay for detecting several breast cancer (BC) markers in serum. As an upgrade to the existing methods for quantifying BC serum markers, we aim to integrate several electrodes on the same sensor platform that will be bio-engineered to target one type […]

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Stage ESPCI Paris automne 2024

Nous allons faire l’analyse par résonance magnétique nucléaire du solide de bétons contenant du métakaolin (argile calcinée). Il est considéré que le métakaolin pourrait éventuellement remplacer le ciment Portland, dont la fabrication est l’un des principaux contributeurs à l’émission de gaz à effet de serre. Ce stage se fera dans le laboratoire de Science et […]

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Inferring 2D exsitu distribution of galaxies with AI

The proposed research project aims to gain crucial insights into the stellar assembly of galaxies using advanced machine learning techniques. Most galaxies in the Universe are not isolated systems; they grow primarily through interactions and mergers with other galaxies. While we know that mergers significantly impact galaxy evolution, quantifying the contribution of accretion to a […]

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L2M – VoltVerify

Lithium-ion batteries are becoming increasingly common as the demand for energy storage in vital sectors like automotive and grid storage is on the rise. Each year, lithium-ion battery manufacturers dispose of 2% to 10% of their products, leading to financial losses of up to billions of dollars. Our research group recently found that inactive components […]

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Advancing the Utility of Electrochemical Pressure Impedance Spectroscopy (EPIS) as a New Fuel Cell Diagnostic Technique

Fuel cells are versatile, low-emission alternative energy sources, but their optimization and failure analyses are complex due to their black-box nature. For fuel cells to perform at peak proficiency, each component requires a different level of hydration, yet these parameters are currently unattainable with conventional diagnostic techniques. In consultation with Greenlight Innovation, this project focuses […]

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Accelerating electronic structure simulations on quantum computers using complete active space approximations

Computational chemistry is a powerful tool in the development of new pharmaceuticals, materials, and batteries. With accurate and fast computational methods, one can predict the physical and chemical properties of a molecule without having to prepare it in a laboratory and perform experiments, which can yield dramatic time and cost savings. However, the chemistry of […]

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L2M- Remediwater™ (Sustainable biopolymer nanocomposites for measurement and removal of pharmaceutical contaminants in wastewater)

My project involves the development of sustainable and economical nanocomposite 3D material. The project aims to address the issue of pharmaceuticals and personal care products (PPCPs) contamination of wastewater. The presence of pharmaceuticals and PPCPs in aquatic environments has become a pressing global issue, endangering marine life and human health. PPCPs encompass a broad range […]

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Enantioselective Ni-Catalyzed Arylation of NHP Esters Enabled by Continuous Flow

Chemical reactions are traditionally run as single batches in glasswear such as vials or round-bottom flasks. Conversely, flow chemistry is a discipline in which reactions are run in a continuously flowing stream. Flow chemistry offers several advantages over batch chemistry, such as improved mass transfer, increased efficiency, reduced waste, improved scalability, and greater control over […]

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Quantitative Scanometry using Smartphones

The health care system in both developing and developed countries are strained by the need for expensive diagnostic instruments and techniques, as well as a lack of medically trained personnel. An inexpensive, easy-to-use technique is proposed to be studied for use in medical and/or point-of-care diagnositics by performing a test on a piece of plastic […]

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Applications of entanglement renormalization in comparison with density functionals on the quantum computer

We perform computations of quantities relevant for density functional theory including uniform gases in a variety of situations with entanglement renormalization methods. The end-goal is to determine where the limits of existing classical methods are for obtaining quantities relevant for density functional theory. In this case, we solve for energies for the uniform gas in […]

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Molecular Dynamics Study of the Formation of Laser-Induced Graphene on Poly(furfuryl alcohol)

Graphene is an ultra-thin material with unprecedented chemical and mechanical properties. It is highly desirable for use in technological applications such as biosensors for disease detection and electrodes for energy storage devices, but expensive and energy-intensive synthesis methods have hindered it from widespread commercialization. New, more affordable ways of making graphene have thus been a […]

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Belief Propagation Algorithm for Quantum Evolution Kernel

PASQAL Canada Inc will be the partner organization. PASQAL is a leader in quantum computing and has established a manufacturing facility in Sherbrooke. PASQAL builds and provides access to quantum computing hardware as well as the necessary software and tools for programming its quantum computing platforms. Advances in the capabilities of the quantum hardware and […]

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