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materials, there remains a notable gap in understanding the mechanisms of the biocarbon-metal systems (especially the impact of the resource nature and/or doping), the crucial process parameters controlling
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be particularly interested in the distribution of ions in the medium, since this is what controls the separation. Using a biased simulation procedure, the distribution coefficients will be studied and
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(by two) and energy consumption. However, lower precision can also increase numerical instabilities. The main objective of this project is to automatically identify and control sources of instabilities
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of iodine in the propulsion group in the laboratory and will contribute to the spectroscopy of other gases. The main task is the collection and processing of iodine spectra. This includes: - operation of a
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biochemical reactivity in natural porous media, from deep environments to the surface. In concrete terms, the results of this project will lead to a better understanding of the processes controlling
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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components - Measurement of the characteristics of the device components (assembly, acquisition, processing) - Modeling of observed X-ray fluorescence in C-XRF mode - Development of a data quantification code
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focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state
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This position will consist of using "deep learning" methods, in particular CNNs and "transformers" for the processing of data from the IASI instrument from CNES. These observations are brightness temperature
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on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB