As a Senior Researcher at ENEA, I have developed extensive expertise in the electromagnetic, thermal, and mechanical modeling of high-temperature superconductors (HTS). My research focuses on the development of advanced numerical tools for the design and optimization of HTS devices, also implementing innovative artificial intelligence (AI) technologies, particularly for HTS conductors and high-field magnets for fusion applications such as DTT and DEMO.
Since pioneering the integration of AI with applied superconductivity in 2015, I have worked extensively on surrogate modeling, neural networks, and evolutionary algorithms to address complex nonlinear multiphysical problems in HTS modeling. By combining classical finite element analysis (FEA) with innovative optimization strategies and multidisciplinary approaches, I aim to accelerate the design cycle of next-generation HTS superconducting systems.
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