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microgrids integrating intermittent renewable energy sources (solar, wind), storage systems (batteries, hydrogen), power electronic converters, and controllable loads. These complex cyber-physical
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ordering, from nanometer to millimeter, would be a major milestone towards complex and advanced materials fabrication. General tasks: - To undertake research, e.g., by planning, preparing, setting up
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. The work plan includes: (i) the fabrication of micro-models of increasing complexity; (ii) the functionalization of these micro-models to achieve surface properties that aim to bacterial adhesion and mineral
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that these environments, far from being sterile, harbor complex communities capable of affecting storage. This is the core challenge of the SHine project. The successful candidate will be based at the Laboratory of Thermal
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, the progressive degradation of the core can lead to the formation of a complex material called corium, resulting from interactions between the nuclear fuel, structural materials, and, in certain scenarios
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. The results obtained will be used to derive kinetic parameters of reactivity. The work program includes: i) the fabrication of micro-models of increasing complexity, ranging from model porous media to natural
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pombe. We hypothesise that rapid adaptive responses involve post-translational modifications (PTMs) of cohesin, a complex essential for chromatin structuring. These PTMs could remodel chromatin
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complex than those of any other planet in the Solar System, covering a frequency range from kilohertz to tens of megahertz and comprising half a dozen components. Their generation is very sensitive
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cancer, inflammatory diseases, and complex infections. This PhD project aims to develop a new generation of multifunctional polymeric nanocarriers using Polymerisation-Induced Self-Assembly (PISA). Unlike
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
phenomena. New meta-model architectures based on learning may be proposed and tested on complex EDF use cases. However, this is not sufficient: can such a surrogate, learned from simulation data, predict