Mini-Symposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear and Particle Physics

Presentations

• Recent advances in machine learning for nuclear and particle physics

  ORAL · Invited

  April 3, 2024, 1:45 PM – April 3, 2024, 2:21 PM

  Presenters

  • Michelle P Kuchera

    Davidson College

  Authors

  • Michelle P Kuchera

    Davidson College

  View abstract →

• Unmasking the Underlying Correlations in Nuclear Reaction Cross Sections

  ORAL

  April 3, 2024, 2:21 PM – April 3, 2024, 2:33 PM

  Presenters

  • Kyle A Wendt

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

  Authors

  • Kyle A Wendt

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

  • Nicolas Schunck

    Lawrence Livermore National Laboratory

  • Shusen Liu

    Lawrence Livermore National Laboratory

  • Xiao Chen

    Lawrence Livermore National Laboratory

  • Ruben Glatt

    Lawrence Livermore National Laboratory

  • Hongjun Choi

    Lawrence Livermore National Laboratory

  • Mengyao Huang

    Lawrence Livermore National Laboratory

  • Sinjini Mitra

    Arizona State University

  • Aman Sharma

    Lawrence Livermore National Laboratory

  View abstract →

• Quantifying uncertainty of nuclear properties within machine learning frameworks

  ORAL

  April 3, 2024, 2:33 PM – April 3, 2024, 2:45 PM

  Presenters

  • Mengyao Huang

    Lawrence Livermore National Laboratory

  Authors

  • Kyle A Wendt

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

  • Mengyao Huang

    Lawrence Livermore National Laboratory

  • Nicolas Schunck

    Lawrence Livermore National Laboratory

  View abstract →

• Novel Neural Network Architectures for Simulations of Quantum Field Theories

  ORAL

  April 3, 2024, 2:45 PM – April 3, 2024, 2:57 PM

  Publication: J. Komijani, M.K.Marinkovic, "Generative models for scalar field theories: how to deal with poor scaling?", PoS LATTICE2022 (2023) 019https://arxiv.org/abs/2301.01504; <br>J. Komijani, M.K.Marinkovic, "Normalizing flows and SU(3) gauge theories", in preparation

  Presenters

  • Marina Krstic Marinkovic

    ETH Zurich

  Authors

  • Marina Krstic Marinkovic

    ETH Zurich

  • Javad Komijani

    ETH Zurich

  View abstract →

• Bayesian model mixing for nuclear ground state properties

  ORAL

  April 3, 2024, 2:57 PM – April 3, 2024, 3:09 PM

  Presenters

  • Aman Sharma

    Lawrence Livermore National Laboratory

  Authors

  • Aman Sharma

    Lawrence Livermore National Laboratory

  • Nicolas Schunck

    Lawrence Livermore National Laboratory

  • Kyle A Wendt

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

  View abstract →

• Artificial Neural Networks (ANN) Applied to Monte Carlo Simulation of Helium.

  ORAL

  April 3, 2024, 3:09 PM – April 3, 2024, 3:21 PM

  Publication: Plan to publish in Computing in Science and Engineering.

  Presenters

  • Barry C Husowitz

    Wentworth Institute of Technology

  Authors

  • Barry C Husowitz

    Wentworth Institute of Technology

  View abstract →