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Combining Analyses for the Study of Numerical Invariants – CAFEIN
The development of critical embedded systems enables today the use of formal methods in order to guaranty the good behavior of the final system. These formal methods are nevertheless mainly used locally in an isolated fashion and are not the principal mean of V&V. CAFEIN's project identified issu
Combining low-cost biochar, biogas, and cyanobacteria fertigation technologies with low-input crops for sustainable bioproducts in smart circular farming systems – CombiFarm
The CombiFarm project develops living labs to demonstrate: (1) circular farming systems combining energy, carbon and nutrient recovery systems based on low-cost biochar, biogas, and microalgae fertigation technologies together with (2) sustainable cropping systems based on low-input crops (alfalfa,
Comodal freight transportation chains: a physical internet approach – pi-comodalité
The PI-co-modality project is devoted to the design of co-modal chains between preset origins and destinations according to environmental and economic objectives. The project is based on the concept of the physical internet (shortened by PI) that breaks with previous established approaches. The meta
Complex and isotropic silicide materials based on eco-sustainable elements for thermoelectric devices working in intermediate and high temperature – MASCOTH
A thermoelectric device is able to transform thermal into electric energy (Seebeck effect) and vice versa (Peltier effect). Two challenges concerning materials hinder a large scale production and integration of these devices. The first one is related to the high price and toxicity of the atoms compo
Complex structures produced by additive manufacturing and Epanizing – X-FA2023
Metal Additive Manufacturing (MAM) is a major field of study and innovation. Transportation industry, and in particular the aerospace industry, presently devotes considerable efforts in modelling designs that optimize simultaneously weight, mechanical resistance and functional operation. Despite al
Component for Guided Optics in the Midinfrared – COMI
The Mid-InfraRed (MIR) domain is concerned by most of the frequencies of molecular vibration and the optical spectroscopy in this range allows the identification and the quantification of chemical compounds corresponding to explosives, pollutants or disease markers. Also, the technological appropria
Composite membranes as low relative humidity and intermediate temperature electrolyte for PEMFC – COMEHTE
One of the limitations of proton exchange membrane fuel cells is their low operating temperature. Increasing this temperature beyond 80-90 ° C would simplify the cooling device, particularly constraining in the case of an automotive application. The type of polymer widely used as electrolyte (perflu
Compositional functions networks: adaptive learning for high-dimensional approximation and uncertainty quantification – COFNET
High-dimensional approximation tasks are ubiquitous in all areas of scientific computing and data science, including the solution of partial differential equations (PDEs), machine learning and uncertainty quantification (UQ). With the recent success of deep Neural Networks (NNs) and tree Tensor Netw
Comprehensive studies for the qualification of an industrial process for PuCl3 synthesis – NIOUSALT
In molten salt nuclear reactors, fissile material is dissolved as a halide—typically chloride or fluoride—in a molten salt mixture that serves as both solvent and heat transfer fluid, while also acting as a containment barrier. Fluorides have been extensively studied so far but chlorides are now fav
Compression and Alignment for Efficient Machine Learning – CALME
The increasing availability of massive datasets presents a number of challenges for machine learning (ML), with two key issues standing out: the high dimensionality of the data and the difficulty of obtaining high-quality labelled data. This project aims to develop ML methods that require moderat
