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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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be leveraged to train AI-based tools in order to enhance resolution of low-field NMR spectra for these isotopes. Diagnosing metabolic disorders in the human brain by the development of new pulse
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technology. However, this system offers energy storage densities in the range of 15 to 60 kWh/m³, and storage duration is limited due to thermal losses. To mitigate these drawbacks, two options are currently
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contributing factors are well known, their detection—a key element in risk prevention—remains challenging in some cases. Moreover, their effects on the environment, ecosystems, and consequently on future blooms
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heterogeneous media (Bodart et al., 2016) in order to account for fractures or reservoir-type sources located in a fully three-dimensional medium. Both methods are currently capable of calculating stresses and
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treatment and analysis. The samples can range from model systems like 2D materials or thin lamella of semiconducting samples, going closer to devices like phase-change random access memory (PCRAM
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bandgap" components. Some of these devices are also required to operate under new and severe conditions, such as low pressure, high temperature, or very high voltage. In this context, the MDCE group work
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, in the presence of water. The aim is to determine the oxidation mechanisms and kinetics of various metallic nuclear wastes in molten salts in order to define the optimum conditions for this process
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the laboratory. Extensive characterization will be performed, with structural, microscopic and chemical analysis, to explain the evolution of properties in order to better predict them, propose in-situ estimation
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to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows for accurate simulation of time-dependent flows, enabling sensitive applications