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Efficient and Dynamic ENergy Management for Large-Scale Smart Grids – EDEN4SG
This represents a challenge as strong couplings exist at different levels (local/global) between the smart grid actors which belong to an increasingly uncertain environment (e.g. growing dependence of electric production to photovoltaics and wind). This leads to a highly-coupled, multi-scale and mul
Seismic monitoring of the Subsurface along Transportation Infrastructure using passive measurement on TeleCOM fiber-Optic – SITcomOptics
Among the underground geohazards, those linked to the superficial karsts under cover are the cause of numerous collapses. Their evolution can be accelerated by exceptional hydrogeological process (floods, sudden water tables variation), the intensity and frequency of which increases with climate cha
Optimisation of arsenic-rich MIne wastes phytostabilisation strategies: prediction of impacts on water and pollutants bioavailability to plants linked with MicrObial activities – oMIMo
Securing mining residues represents a major environmental challenge. Most metal mines generated waste containing iron and/or sulfur, with arsenic (As) being a common toxic pollutant. Phytostabilization appears to be an appropriate option to minimize the risks linked to the dispersion of particles by
Advanced Bipolar Membranes for Energy and Electrodialysis Technology – APRiCOT
Bipolar membranes dissociate water (H2O à H++OH-) at the interface between a proton and a hydroxide conductor under applied bias. This is being exploited industrially in electrodialysis to produce acid and base, and could be of great value for water and CO2 electrolyzers. Recently, some of us introd
5G-REalistic radio channel MOdels enabled system evaluation for RAilway environments – 5G-REMORA
The development of safe and secure applications such as remote driving, remote diagnostics, platooning of trains and autonomous vehicles in railway context has led to an unprecedented need for reliable radio links. The Future Railway Mobile Communication System (FRMCS) is designed at European level
Multiscale ab initio skyrmionics in 2D magnets – MATRICES
Magnetic skyrmions, topologically protected chiral spin structures with particle-like properties, have attracted tremendous attention due to their potential information storage and processing applications. The main focus of the community so far has been on skyrmions in bulk, ultrathin films, and mul
Wasserstein Gradient Flows for Optimization and Sampling: non asymptotic properties and the non log-concave setting – WOS
An important problem in machine learning and computational statistics is to sample from an intractable target distribution. In Bayesian inference for instance, the latter corresponds to the posterior distribution of the parameters, which is known only up to an intractable normalisation constant, and
Robust Optimization and Digital Twins for Maritime Transition – MATritime
The maritime sector faces significant challenges: imposed reductions in the energy footprint of maritime transport, the advent of new modes of propulsion (sail, hydrogen), automation, and digitization ... At the same time, the numerical/digital revolution in naval design processes requires a great
New generation of machine-learning based Models for Aerodynamics Computations – NEWMAC
In this project, the goal is to investigate new machine learning methodologies to improve turbulence models for aeronautical applications. In aerodynamics, the models currently used in industry are based on strong approximations and are calibrated on very simple configurations. These models have ser
Tropospheric Ozone in Southeast Asia: Budget and Mitigation Strategies – OSEAMS
On regional and global scales, tropospheric ozone is a key compound controlling atmospheric oxidation capacity and an important driver of climate change. On a local scale, ozone is a criteria air pollutant that has detrimental effects on human health and natural ecosystems. Although having successfu
