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AMMETIS[1] (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced characterization
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, PPA films undergo a reversible macroscopic mechanical deformation, making them attractive systems for the transduction between light and mechanical energy, with possible applications in motors, drug
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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. Computational chemistry will be used to create a library of model compounds differing in lipophilicity and to calculate their key physicochemical properties (e.g. melting point, solubility, size, chemical
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the synergy between oxidation and creep. This is because several other damaging mechanisms: dislocation cell size increase, particle coarsening, embrittling precipitates or the formation of voids at grain
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mechanisms that underlie such factors to ultimately target these relationships therapeutically. Specifically, this project will investigate how the cerebellum contributes to affective states in pain, through
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., NMR, EPR, X-ray diffraction, electrochemistry...). With a stimulating work environment gathering more than 70 researchers and 100 interns, PhD students and postdocs of different nationalities, research
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antibiotic resistance. Until now, cytochrome bd structures from from four different species (E. Coli, Mycobacterium smegmatis, Mycobacterium tuberculosis et Corynebacterium glutamicum) are available. The first