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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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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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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