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Author

S. Trifinopoulos

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#artificial intelligence Review Sep 2026

Learning Nuclear Structure with AI: Radii and Collectivity

Low-energy nuclear structure is encoded in a broad body of experimental information across the chart of nuclides. Learning how this information is organized across observables and nuclei can provide a data-driven empirical baseline for theoretical extrapolations and experimental design. Here, we develop held-out ensemb...

G. Giacalone, S. Trifinopoulos, Mike Williams · 0 citations
Preprint Aug 2026

Next-to-Leading-Order Electroweak Corrections to Quantum Observables in Lepton-Lepton Collisions

We study how virtual next-to-leading-order electroweak corrections affect the quantum observables of entanglement and magic in lepton--lepton collisions. Treating the outgoing particles as multi-qudit systems, $\textit{i.e.}$, qubits for spin-$\tfrac{1}{2}$ fermions and qutrits for massive vector bosons, we compute ent...

Spencer Chang, T. Driscoll, S. Trifinopoulos · 1 citation

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