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Workshop: Current Applications of Machine Learning in Nuclear Physics II

INVITED · 4WC · ID: 3560766

Presentations

  • Optimizing Low-Energy Nuclear Reaction Measurements using Machine Learning

    ORAL · Invited

    –

    Publication: Tsintari, P., Montes, F., Perdikakis, G., Schatz, H., et al. (2025b). Machine learning enabled measurements of astrophysical (p,n) reactions with the SECAR recoil separator. Physical Review Research, 7(1). https://doi.org/10.1103/physrevresearch.7.013074

    Presenters

    • Pelagia Tsintari

      Facility for Rare Isotope Beams / Michigan State University

    Authors

    • Pelagia Tsintari

      Facility for Rare Isotope Beams / Michigan State University

    • Kirby Hermansen

      National Superconducting Cyclotron Laboratory, MSU

    • Fernando Montes

      Facility for Rare Isotope Beams

    • Georg P Berg

      University of Notre Dame

    • Benjamin H Bucci

      Central Michigan University

    • Manoel Couder

      University of Notre Dame

    • Georgios Perdikakis

      Central Michigan University

    • Hendrik Schatz

      Michigan State University and FRIB

    View abstract →

  • Elucidating QGP properties at finite baryon density with Bayesian inference of RHIC Beam Energy Scan data

    ORAL · Invited

    –

    Publication: 1] H. Roch, S. A. Jahan, and C. Shen, "Model emulation and closure tests for (3+1)D relativistic heavy-ion collisions," Phys. Rev. C 110, no.4, 044904 (2024)<br>[2] S. A. Jahan, H. Roch, and C. Shen, "Bayesian analysis of (3+1)D relativistic nuclear dynamics with the RHIC beam energy scan data," Phys. Rev. C 110, no.5, 054905 (2024)

    Presenters

    • Chun Shen

      Wayne State University

    Authors

    • Chun Shen

      Wayne State University

    View abstract →

  • Data-driven classification of metal-poor stars using machine learning

    ORAL · Invited

    –

    Publication: https://arxiv.org/abs/2505.14563

    Presenters

    • Yilin Wang

      University of British Columbia (UBC)

    Authors

    • Yilin Wang

      University of British Columbia (UBC)

    • Nicole Vassh

      TRIUMF

    • Richard M Woloshyn

      TRIUMF

    • Michelle Perry Kuchera

      Davidson College

    • Maude Lariviere

      TRIUMF

    • Kayle Majic

      University of Victoria

    • Benoit Côté

      Argonne National Laboratory

    View abstract →