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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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No. 1 scholarship grant for scientific training at INFN Structure of Roma for the following research topic: “Optimization of energy reconstruction in ECAL and its application into Higgs Boson measurements
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