Mini-Symposium: From Data to Discovery: Machine Learning II

Presentations

• Point-cloud based machine learning for classifying rare fission events

  ORAL

  Oct. 8, 2024, 10:30 AM – Oct. 8, 2024, 10:42 AM

  Presenters

  • Curtis Hunt

    • Michigan State University

  Authors

  • Curtis Hunt

    • Michigan State University

  • Poulomi Dey

    • Michigan State University

  • Adam K Anthony

    • Michigan State University

  • Michelle Perry Kuchera

    • Davidson College

  • Raghuram Ramanujan

    • Davidson College

  • Kyle W Brown

    • Michigan State University/Facility for Rare Isotope Beams

  • Zbigniew Chajecki

    • Western Michigan University

  • William Gregory Lynch

    • Michigan State University

  • Betty Tsang

    • Michigan State University

  • Joseph M Wieske

    • Michigan State University

  • Ho Ting Wong

    • The Chinese University of Hong Kong

  View abstract →

• Symbolic Regression of Generalized Parton Distributions using PySR

  ORAL

  Oct. 8, 2024, 10:42 AM – Oct. 8, 2024, 10:54 AM

  Publication: Title:
  Symbolic Regression of Generalized Parton Distributions using PySR
  Category: Planned Paper
  Estimated Submission: September 2024

  Presenters

  • Andrew S Dotson

    • New Mexico State University

  Authors

  • Andrew S Dotson

    • New Mexico State University

  • Anusha Singireddy

    • Old Dominion University

  • Zaki A Panjsheeri

    • University of Virginia

  • Douglas Adams

    • University of Virginia

  • Simonetta Liuti

    • University of Virginia

  • Yaohang Li

    • Old Dominion University

  • Huey-Wen Lin

    • Michigan State University

  • Marija Cuic

    • University of Virginia

  • Adel U Khawaja

    • University of Virginia

  • Joshua Beethoven Pangan Bautista

    • University of Virginia

  • Emmanuel Ortiz-Pacheco

    • Michigan State University

  • Gia-Wei Chern

    • University of Virginia

  View abstract →

• Machine Learning techniques for cross-talk rejection in two-neutron decays for MoNA

  ORAL

  Oct. 8, 2024, 10:54 AM – Oct. 8, 2024, 11:06 AM

  Presenters

  • Juan Lois Fuentes

    • FRIB

  Authors

  • Juan Lois Fuentes

    • FRIB

  • Thomas Redpath

    • Virginia State University
    • VSU

  View abstract →

• Evaluating Emulation Strategies in Heavy-Ion Collisions: Gaussian Processes vs. Taylor Expansions

  ORAL

  Oct. 8, 2024, 11:06 AM – Oct. 8, 2024, 11:18 AM

  Presenters

  • Christal A Martin

    • University of Tennessee, Knoxville

  Authors

  • Christal A Martin

    • University of Tennessee, Knoxville

  • Scott E Pratt

    • Michigan State University

  • Moses Chan

    • Northwesten University

  • Christine E Nattrass

    • University of Tennessee, Knoxville

  View abstract →

• Application of Deep Learning in Polarized Target Nuclear Magnetic Resonance Measurements

  ORAL

  Oct. 8, 2024, 11:18 AM – Oct. 8, 2024, 11:30 AM

  Presenters

  • Devin Allen Seay

    • University of Virginia

  Authors

  • Devin Allen Seay

    • University of Virginia

  • Ishara P Fernando

    • University of Virginia

  • Dustin M Keller

    • University of Virginia

  View abstract →

• Physics informed machine learning for material identification: initial steps

  ORAL

  Oct. 8, 2024, 11:30 AM – Oct. 8, 2024, 11:42 AM

  Presenters

  • Peter Lalor

    • Pacific Northwest National Laboratory

  Authors

  • Peter Lalor

    • Pacific Northwest National Laboratory

  View abstract →

• Prediction of Neutrino Emissivity from Pre-supernova Stars by Machine Learning

  ORAL

  Oct. 8, 2024, 11:42 AM – Oct. 8, 2024, 11:54 AM

  Presenters

  • Shivanshu Dwivedi

    • Trinity College

  Authors

  • Shivanshu Dwivedi

    • Trinity College

  • Kelly M Patton

    • Trinity College

  View abstract →

• Nuclear Structure Function F₂^A Calculated by Neural Network

  ORAL

  Oct. 8, 2024, 11:54 AM – Oct. 8, 2024, 12:06 PM

  Presenters

  • travon willis

  Authors

  • travon willis

  View abstract →

• Minimizing Emulator Uncertainty

  ORAL

  Oct. 8, 2024, 12:06 PM – Oct. 8, 2024, 12:18 PM

  Presenters

  • Oleh Savchuk

    • Facility for Rare Isotope Beams

  Authors

  • Oleh Savchuk

    • Facility for Rare Isotope Beams

  View abstract →