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DYe-Sensitized p-type Photocathodes with Optimized transport and panchromatic absorption properties for solar Water-splitting – DYSPOW
Among the emerging technologies allowing the production of hydrogen directly from solar light, dye-sensitized photoelectrochemical cells appeared to be a very promising technology. However, in spite of some encouraging results reported over the past years, there is still a strong need of fundamental
Thermoelectric High EntRopy MAteriaLs – THERMAL
The aim of this project is to show the potential of high-entropy materials (oxides and chalcogenides) for thermoelectric applications. In the current environmental and economic context, the demand for clean and renewable alternative energies is important. Thermoelectric modules, which convert heat
Enzyme engineering for the microbial production of enhanced pyoverdines for biomedical applications. – PYOCLICK
Combinatorial biosynthesis relies on enzyme and metabolic engineering approaches aimed at modifying the production of natural peptides, particularly by incorporating non-canonical amino acids (ncAAs) into their sequence. This strategy generates peptides carrying functional groups for bioconjugation,
Inclusive and sustainable urban mobility for youth – based on the perception of mobility systems – NextGenMobility
The NextGenMobility project seeks to create inclusive, sustainable urban mobility solutions tailored to the needs of young people by addressing their perceptions and usage of mobility systems. It emphasizes enhancing accessibility, safety and sustainability within urban environments, focusing on you
MEchanism for LOw thermal conDuctivitY – MELODY
How low the thermal conductivity of a solid can be ? This question is of fundamental and technological interest. Designing materials with low thermal conductivity has become a crucial technological challenge for thermoelectric devices or thermal barrier applications. The MELODY project aims at solvi
Domain Adaptation on Time Series – DATeS
Machine learning models generally assume that training and test data are identically distributed. However, this assumption often breaks down in real-world applications due to shifting data distributions over time and across contexts. Domain Adaptation **(DA)** tackles this challenge by allowing mode
DYNAMIC Activation of Magnesium-Based ComposiTes for Hydrogen Storage – ADyCT
Hydrogen is a key issue for renewable energies. The solid-state storage of hydrogen in the form of metallic hydrides offers numerous advantages, including safety, in comparison with cryogenic liquid and compressed gas possibilities. Magnesium, an abundant and relatively cheap metal, reacts with hydr
CO2 guided cardiopulmonary resuscitation – CPR-CO2
Cardiac arrest is estimated to be the third leading cause of death in the United States with a survival rate around 10%. Cardiopulmonary resuscitation (CPR) refers to the management of cardiac arrest patients. Aside the absolute priority to consider defibrillation to restore spontaneous circulation,
Generalizing Wasserstein Barycenters to discretize gradient flows – BARYFLOW
Wasserstein barycenters are a powerful tool for analyzing complex data represented by probability measures. They enable the interpolation of different types of objects, such as images, texts, or distributions of physical quantities, while taking into account their global geometric structure. However
Multi-omic and multi-modal MRI signatures to unravel the role of glymphatic pathways in cerebral small vessel disease – Multi-SVD-glyph
Cerebral small vessel disease (cSVD) is a heterogeneous group of pathologies affecting small blood vessels of the brain, and a leading cause of stroke and dementia. Numerous genetic risk loci have been identified for several magnetic resonance imaging (MRI) markers of cSVD, especially white matter h
