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, physical, mechanical, and technological properties of metallic materials, their characterization through macro, micro, and nano-structural and fractographic analyses, also in relation to corrosion, oxidation
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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring
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ownership structures across generations. Particular attention is given to the role of next-generation family members and family offices in orchestrating continuity, innovation, and responsible wealth
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range with unprecedented resolution exceeding 40 meV. The project has a strongly experimental approach, from instrumentation design, through construction and commissioning, to its use in the study of
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for: i) Multi-level decision-making; ii) Participatory planning; iii) Privacy-preserving information-sharing; i Automating post-incident learning with structured DAO-logged data. The project advances a
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at understanding catalytic mechanisms and reaction kinetics, as well as at establishing correlations between the structure, activity, and stability of the materials employed. In particular, the work will include
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of renewable sources and energy storage systems. In particular, the research will focus on the application of new electronic power converter structures for the power supply of railway lines and electric vehicle