Carbon Dioxide Functionalization by Aluminum-based Metal-Only Frustrated Lewis Pairs

The continued rise in global temperatures, driven by excessive greenhouse gas emissions, has brought carbon dioxide (CO2) to the forefront of global challenges. As the most abundant greenhouse gas, CO2 presents both a critical issue and a unique opportunity: its removal and conversion into value-added products have become key goals for scientists, industries, and policymakers. […]

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Développement de procédés de pulvérisation et structuration de résines à base de chitosane pour la microélectronique

Ce projet a pour objectif d’évaluer les performances de résines polymères biosourcées, fabriquées à partir de chitosane pour des applications de microfabrication de dispositifis et systèmes microélectroniques. Ces résines représentent une alternative écologique aux résines dérivées du pétrole et permettraient ainsi une diminution de l’impact environnemental de certains procédés de microfabrication

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Magnetoactive Photochemical Liquid Crystal Elastomers

This project focuses on developing smart materials that can move or change shape in response to light and magnetic fields with the synthesis of Thiolacrylate-Liquid Crystal Elastomers (LCE) with the incorporation of superparamagnetic or ferromagnetic particles. These materials, called liquid crystal elastomers, have potential applications in soft robots, which are flexible machines that can be […]

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Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing

Agriculture must meet the needs of the continuously growing world population. To this end, sustainable strategies that improve resource use efficiency (human, fuel, water, herbicides, pesticides, and fertilizers), reduce inputs and environmental impacts, and sensing methodologies that provide actionable information are in demand. This research will increase the potential for collecting high-quality data in the […]

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Développement d’un système d’intégration et d’augmentation des données pour la détection des fractures atypiques et complexes en utilisant des infrastructures de calcul avancées

Ce projet vise à développer un système intelligent pour aider les médecins à détecter et segmenter avec précision les fractures osseuses atypiques et complexes à partir d’images médicales comme le scanner (CT) ou l’IRM. Ces types de fractures sont particulièrement difficiles à identifier avec les méthodes traditionnelles en raison de leur rareté, de leur diversité […]

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Experimental Study of Low Dimensional Bose Gases

Trapped ultracold atoms are one of the primary platforms enabling the development of quantum computation and simulation. Continued scaling towards large, robust quantum mechanical systems relies on our ability to exert increasing levels of control over these atomic systems. The team working on the Rubidium-87 experiment at Collège de France have demonstrated unprecedented precision manipulation […]

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Converting colour memory to a spatial format to benefit behaviour

This project explores how the brain transforms visual information, like colour, into spatial formats when storing it in memory. Using functional MRI (fMRI), we will study how these transformations happen and which brain areas are involved. This research builds on previous studies using EEG, but fMRI will provide a clearer picture of the brain regions […]

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Dual Cobalt/Photoredox Catalyzed Synthesis of Urea-Type Containing Heterocycles

A key goal in modern organic chemistry is the development of efficient synthetic routes to access industrially relevant structures starting from highly abundant feedstock chemicals, while minimizing the use of expensive rare-earth metals for catalysis. This project aims to synthesize urea-type containing heterocycles, which are a common structural feature found in many biologically active compounds, […]

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Quantum Black Holes

For a long time, scientists have been trying to unify the theory of gravitation with quantum physics. Quantized gravity is necessary to correctly describe phenomena where huge masses combine with tiny dimensions such as at the big bang or in black holes. The latter can be observed and thus can serve as an ideal testbed […]

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Early Detection of Grain Spoilage and Contamination Using Hybrid NIR-E-Nose Systems with Machine Learning

This project explores the feasibility of using a hybrid sensing system that combines Near-Infrared Spectroscopy (NIR) and Electronic Nose (E-Nose) technologies, enhanced by machine learning, to detect early signs of spoilage and contamination in stored grains. By analyzing changes in grain structure and gas emissions, the study contributes to ongoing research on reliable, non-destructive, and […]

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Nano-biostimulant derived from fish byproduct to improve plant growth and productivity

Global fish and seafood consumption has increased, leading to large amounts of byproducts from fish markets and processing industries. Currently, the byproducts are used to produce fish meals or dumped into the ocean, causing suffocation and introducing diseases and noxious species. Other potential uses such as bioconversion into biostimulant for agricultural use. Fish are rich […]

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