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Physiques et Chimie de l'Environnement Atmosphérique
Après 11 années de fonctionnement, le labex CAPPA (www.labex-cappa.fr/) a eu un fort impact sur son environnement universitaire en fédérant et en structurant les activités de recherche et de formation Master-Doctorat de 7 laboratoires par une approche scientifique multidisciplinaire dans le domaine
Physiopathologie et Innovations thérapeutiques de la Défaillance cardiaque droite au cours de l'hypertension pulmonaire: Développement de Biomarqueurs et mise au point du Poumon Artificiel Total.
Le projet BioArt-Lung 2020 est coordonné par le Pr. Olaf MERCIER, chirurgien thoracique senior et chef du département de recherche et d'innovation de l'hôpital Marie Lannelongue. L'objectif du projet est de développer un poumon artificiel, para-corporel, miniaturisé, capable d'oxygénation, de décarb
Physics-informed Artificial Intelligence for Cutting Brake Emissions from Electric Vehicles – PI-CUBE
The aim of this project is to develop a new braking control system for electric vehicles, using artificial intelligence (AI) to significantly reduce (i) brake particle emissions and (ii) noise emissions. These two emissions are major sources of environmental pollution and health risks in urban areas
Physics of degradation in organic, nanocrystal, and hybrid solar cells – PROCES
Solar cells based on colloidal nanocrystal QDs and hybrid perovskite have shown remarkable progress in terms of power-conversion efficiency over the past decade. Yet the Achilles heel of these devices lies in their environmental instability. This project thus aims to develop fundamental understandin
Physico-Chemical investigations of sedimentary gas hydrates reproducing their natural geo-environment. – HYDRACLAY
Natural methane hydrates (NGH)– formed from the reaction of pore fluids and gases within sediments - occur at cold seeps on continental margins and in the permafrost of the Polar Regions. They represent the largest methane reservoir on Earth, and fuel the development of a large variety of chemosynth
Physical and Intrinsic Security of Embedded Neural Networks – PICTURE
Today, a major challenge in Machine Learning (ML) is edge-deployed models and more particularly neural networks in a large variety of embedded platforms with high interests shown on porting deep neural networks (DNN) for inference purpose. Many reasons explain the direct use of neural networks on ed
Phraseology in the novel – PHRASEOROM
The chief goal of the PhraseoRom project has been to elaborate a structural and functional typology of lexico-syntactic constructions specific to English, French and German novelistic discourse. Drawing on large trilingual corpora of literary language, we have used corpus-linguistic (or, more precis
Photonic Integrated Circuit with System on Chip for Sub-Picometric Displacement Sensor – PICSONDE
The PICSONDE project aims to offer on-board laser vibrometers with real-time processing of interferometric signals exploiting optical feedback injection (OFI or “Optical Feedback Interferometry”) by an integrated photonic circuit combined with a signal processing system on Chip (SoC) to perform in
Photonic Augmented Security via Physical Unclonable Functions – PHASEPUF
The main issues that are faced by electrical PUF architectures which are based on key building blocks such as XOR arbiters and ring oscillators are: - strong dependence on temperature fluctuations and aging which limits the reproducibility of their responses - low resilience against machine learni
Photon-Atom Cooperative Effects at Interfaces – PACE-IN
Rb1 is devoted to the development of new method to generate and characterize nonclassical light using large ensemble of cold atoms. Experiments are currently on-going on the measurement on light fluctuation statistics after scattering and crossing a cold-atom sample, and preliminary data are encoura
