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Phenomenology of turbulent mixing in variable viscosity and density flows – MUVAR
In variable viscosity or density flows, we will study the effect of the hydrodynamical (Reynolds number) and physico-chemical parameters (density ratio and viscosity) on the behaviour of the dynamical system (velocity and scalar field) at various scales (mean and fluctuating fields). Given: the inje
Philosophy, History, and Sociology of Mental Medicine – PHS2M
For approximately twenty years, mental medicine has gone through a major shift affecting its paradigms, its therapeutical techniques and its fundamental concepts. This shift can be characterized as follows: the classical questions of psychiatry (focused on mental illness and its possible treatment)
PhoPR and tuberculosis transmission – MTB-Spread
New therapeutic strategies are required to reduce the incidence of human tuberculosis worldwide. This requires a better understanding of the key factors of the infectious agent contributing to pathogenesis and transmission. Tuberculosis-causing bacilli (TB bacilli) have evolved unique abilities to s
Phonetic Articulatory Synthesis – ArtSpeech
The objective is to synthesize speech from text via the numerical simulation of the human speech production processes, i.e. the articulatory, aerodynamic and acoustic aspects. Corpus based approaches have taken a hegemonic place in text to speech synthesis. They exploit very good acoustic quality
Photochromic Inorganic Fluorides – PRIDE
The PRIDE project aims to design, synthesize and shape bistable photochromic fluorides and oxides whose optical properties (absorption or emission) can be reversibly controlled when exposed to selective photon irradiation. PRIDE is taking place against a backdrop of considerable interest as our soci
Photoswitchable glycomacrocycles as chiral dopants for liquid crystals and fabrication of microswimmers – HELISWEETCH
The recent discovery that some photochromic glycomacrocycles could substitute for “molecular motors” in the development of photoactive cholesteric liquid crystals (CLCs) opens up a huge field of research due to the great variability of natural glycosides, the infinite potentialities of substitutions
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
Physics informed neural networks fro harmonic Maxell equations – MAXINET
The MAXINET project aims to develop a new generation of artificial intelligence (AI)-enhanced digital engineering tools for solving harmonic Maxwell's equations applied to the design of radio-frequency components and systems. These tools are based on the Physics-Informed Neural Network (PINN) conce
Physics-based wireless AI providing scalability and efficiency – PASSIONATE
Summary of the project: Mobile communications have changed, and will continue to change our lives. With 5G under deployment, the interest of the scientific and industrial communities has started focusing on the future 6G communication networks, which will require more advanced capabilities. Achievi
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
