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and nitrogen chemistry in several reaction chambers: HELIOS (CNRS, Orléans) and CESAM (UPEC, Paris). Both of these chambers are uniquely well-equipped to understand atmospheric chemical composition in
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to the reservoir temperatures and heterogeneities (geochemical (mineral assemblage, water composition, …) and petrophysical) and the cycling period (injection vs. withdrawal), for example, to understand why isotopic
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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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placed on identifying the conditions favourable to the generation of compositional heterogeneities resulting from the complete solidification of terrestrial magmatic oceans. This project will be based
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innovative new technologies [1-6], and its robotization and automation will open to the future manufacturing of structural composites incorporating these natural fibers. This new type of composite meets very
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of chemical compositions and the complexity of crystallographic structures. In parallel, representative samples of the various phases studied will be synthesized by elemental cofusion and characterized (SEM
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | about 2 months ago
their size and compositions, and it’s been 8 years that these nanocrystals are introduced in displays as a source of light. In these displays a blue LED excites a mixture of green and red emitters such as the
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Diffraction, Electron Microscopy (SEM) (environmental or not), TEM, and EDMA; volume and surface composition analysis using ICP-MS/OES, XPS, Tof-SIMS, Raman, and FTIR; topology analysis using AFM and
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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
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ecologically relevant traits, possibly through machine learning, and thus explore the functioning of pelagic ecosystems at a finer level than just community composition. Within the TraitZoo consortium, it will