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to show, for example, that the composition has a significant effect on the number of monovacancies and the number of defects at low energies, while at higher energies, the effect of the chosen interaction
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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
to accelerating the development of new materials, we are seeking to model and design new metallic liquid alloys for various applications, in general, and to be used for latent heat storage, in particular. Your
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+,…). For the electrolyte composition, the effect of the cation additives or hydrophobic organic co-solvents on the interface structuring and electrochemical stability window will be studied. These strategies are current
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or as materials for transportation. Intensive calculations within the framework of density functional theory (DFT) will provide the basis for building machine-learning models to explore the range
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the quantitative determination of metallurgical evolutions resolved in time but also in space of chemical compositions (concept of combinatorial metallurgy) of complex alloys along thermal and thermomechanical paths
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opening a 20-months position for a young researcher at the University of Lille. The position is opened for a researcher possessing practical experience in the in the fields of materials chemistry and / or
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polymer reinforcements. Membrane-electrode assemblies will also be characterized. - preparation of nanostructured polymer reinforcement - preparation of composite anion exchange membranes - characterization
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series of catalysts based on atomically dispersed iron on doped carbons synthesized by the Charles Gerhardt Institute (ICGM), Montpellier. The structure, chemical composition, and oxidation state
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their composition and morphology. Experimental campaigns will be carried out to determine reactor performance. In paralell, the solar reactor will be modelled by following two approaches: CFD modelling