Workshop: Current Applications of Machine Learning in Nuclear Physics II

INVITED · 4WC · ID: 3560766

Presentations

  • ORAL · Invited

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    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 →

  • ORAL · Invited

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    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)
    [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 →

  • 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 →