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Mini-Symposium: Data-driven Discoveries in Nuclear Physics IV

FOCUS · T05 · ID: 3559364

Presentations

  • Artificial Neural Network Field Theory in Nuclear Physics

    ORAL · Invited

    –

    Publication: Criticality analysis of nuclear binding energy neural networks by S.A. Sundberg and R.J. Furnstahl

    Presenters

    • Simon Andrew Sundberg

      Ohio State University

    Authors

    • Simon Andrew Sundberg

      Ohio State University

    • Dick Furnstahl

      Ohio State University

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  • Unveiling 3D hadron structure with interpretable and explainable AI methods

    ORAL

    –

    Publication: A.~Dotson, Z.~Panjsheeri, A.~R.~Singireddy, D.~Q.~Adams, E.~Ortiz-Pacheco, M.~Cuic, Y.~Li, H.~W.~Lin, S.~Liuti and M.~D.~Sievert, et al., arXiv:2504.13289 [hep-ph].<br><br>D.~Q.~Adams, J.~Bautista, M.~Cuic, A.~Khawaja, S.~Pandey, Z.~Panjsheeri, G.~W.~Chern, Y.~Li, S.~Liuti and M.~Boer, \textit{et al.}<br>arXiv:2410.23469 [hep-ph]].<br><br>M.~Almaeen, T.~Alghamdi, B.~Kriesten, D.~Adams, Y.~Li, H.~W.~Lin and S.~Liuti,<br>Eur. Phys. J. C \textbf{85}, no.5, 499 (2025)<br>doi:10.1140/epjc/s10052-025-14091-3<br>[arXiv:2405.05826 [hep-ph]].<br><br><br>

    Presenters

    • Simonetta Liuti

      University of Virginia

    Authors

    • Simonetta Liuti

      University of Virginia

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  • Learning Implicit Equations from Data

    ORAL

    –

    Publication: Emulating the quasiparticle random-phase approximation (in preparation)<br><br>Genetic Programming for the Nuclear Many-Body Problem: a Guide (https://arxiv.org/abs/2406.04279)<br><br>Towards accelerated nuclear-physics parameter estimation from binary neutron star mergers: Emulators for the Tolman-Oppenheimer-Volkoff equations (https://iopscience.iop.org/article/10.3847/1538-4357/ad737c)<br><br>Emulators for scarce and noisy data: Application to auxiliary field diffusion Monte Carlo for the deuteron (https://www.sciencedirect.com/science/article/pii/S0370269325003193)<br><br>Emulators for scarce and noisy data II: Application to auxiliary-field diffusion Monte Carlo for neutron matter (https://arxiv.org/abs/2502.03680)

    Presenters

    • Pablo G Giuliani

      Facility for Rare Isotope Beams

    Authors

    • Pablo G Giuliani

      Facility for Rare Isotope Beams

    • Kyle S Godbey

      Michigan State University, Facility for Rare Isotope Beams

    • Edgard L Bonilla Carrasquel

      Stanford Univ

    • Ante Ravlic

      Facility for Rare Isotope Beams

    • Lauren Jin

      Michigan State University, University of Toledo

    • Witold Nazarewicz

      Michigan State University, Facility for Rare Isotope Beams

    • Illya Bakurov

      Michigan State University

    • Nathan Haut

      Michigan State University

    • Wolfgang Banzhaf

      Michigan State University

    • Diogenes Figueroa

      Florida State University

    • Ingo Tews

      Los Alamos National Laboratory

    • Cassandra L Armstrong

      Los Alamos National Laboratory (LANL)

    • Rahul Somasundaram

      Los Alamos National Lab (LANL), Syracuse University

    • Brendan T Reed

      Los Alamos National Laboratory (LANL)

    View abstract →