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CentrifugAl iNstabilities and Turbulence in plAsmas: from LaboratOry plasmas to JUPiter's magnetospherE – CANTALOUPE
The rotation of magnetized plasmas, ubiquitous in the universe and technological applications, is known to lead to centrifugal instabilities and ultimately to an intense cross-field turbulent transport. In this proposal, we will address open issues raised by recent observations of centrifugally unst
Theory and Applications of the Geometry of Entropy Regularized Optimal Transport – THEATRE
Optimal transport, including its entropic regularization, plays an increasing role in our understanding of optimization schemes arising from machine learning problems. The good behavior of such optimization problems and the resulting algorithms are shrewdly related to the geometry induced by the met
SUPER-resolution flow diagnostics for Scalar Transport And Dissipation – SUPERSTAD
To predict and understand heat and mass transport in turbulent flows found in reactors or in nature, lab experiments are needed in which fine enough measurements would be performed to avoid smoothing over small turbulent structures. In this project we propose to qualify and apply an optical techniqu
Integrating operator health and performance dilemmas into the planning and scheduling of intelligent production systems – Prod4Human
The production of goods faces increasing challenges in optimization due to product diversity, heightened consumer demands, and fluctuating demand. This phenomenon is particularly pronounced in the e-commerce sector, often referred to as the “parcel factory,” which is directly impacted by these varia
Air Loop and Thermal management Optimization for fuel cell Systems – ALTOS
Hydrogen is expected to play a major role in the energy transition and the decarbonation of the transportation sector. For automotive applications using fuel cell electrical vehicles FCEV, the propulsion system has to be able to handle a wide range of operating points in steady and transient conditi
Nonlinear reduced models for guaranteed and efficient calculations in quantum chemistry – NUMERIQ
Numerical simulations performed for modelling molecular and materials systems are costly and represent a large part of the calculations run on supercomputers (around 35%). The aim of this project is to develop fast and reliable methods in this field, through the design and development of nonlinear
Systematic Machine Learning Approach for Revolutionary Traffic Optimization in Urban Transportation Engineering – SMART-ROUTE
Rapid growth in the demand for urban transportation networks has underlined the urgent need for sophisticated management of multimodal transportation networks due to the significant costs associated with traffic congestion and CO2 emissions. Addressing these challenges requires a dual focus: allevia
Optimization under uncertainties of fueling stations for electric and hydrogen vehicles – OSIRMEH
Decarbonising the transport sector remains the major challenge in the coming years at a global level. A massive development of mobility solutions based on hydrogen and electricity carriers is expected. For the land-based mobility, this will require the development of multi-energy carriers fueling st
Universal inhibitors for lightweight alloys protection – UnILAP
In the transport field, structural lightening has become a major challenge in order to reduce greenhouse gas emissions and fight global warming and its ecological, economic and societal consequences. Light alloys (aluminum alloys) are commonly used as structural materials. Their corrosion resistanc
Additive-manufactured MIEC ceramic membranes for solar-driven green fuels generation – MEMBRASOL
The production of renewable and dispatchable synthetic fuels using green processes constitutes a major challenge of the next decade for the decarbonation of the transport and energy sectors. This project aims to develop a novel groundbreaking approach that bypasses the use of electricity while being
