Physics-informed Neural Networks and Machine Learning II

Presentations

• Mitra Taheri

  ORAL · Invited

  March 21, 2025, 8:00 AM – March 21, 2025, 8:36 AM

  Presenters

  • Mitra Taheri

    • JHU

  Authors

  • Mitra Taheri

    • JHU

  View abstract →

• Abstract Withdrawn

  ORAL · Withdrawn

  March 21, 2025, 8:36 AM – March 21, 2025, 8:48 AM

  View abstract →

• Abstract Withdrawn

  ORAL · Withdrawn

  March 21, 2025, 8:48 AM – March 21, 2025, 9:00 AM

  View abstract →

• Using machine learning to find exact analytic solutions to analytically posed physics problems

  ORAL

  March 21, 2025, 9:00 AM – March 21, 2025, 9:12 AM

  Publication: S. Ashhab, Heliyon 10, e28124 (2024).

  Presenters

  • Sahel Shafiq Ashhab

    • National Institute of Information and Communications Technology

  Authors

  • Sahel Shafiq Ashhab

    • National Institute of Information and Communications Technology

  View abstract →

• Interpretable Wave-Informed Machine Learning for Defect Detection

  ORAL

  March 21, 2025, 9:12 AM – March 21, 2025, 9:24 AM

  Presenters

  • Amanda Beck

    • University of Florida

  Authors

  • Amanda Beck

    • University of Florida

  • Woohyun Eum

    • University of Florida

  • Michael MacIsaac

    • University of Florida

  • Charlie Tran

    • University of Florida

  • Matthew Stormant

    • University of Florida

  • Ghatu Subhash

    • University of Florida

  • Joel Harley

    • University of Florida

  View abstract →

• Gradient descent in materia through homodyne gradient extraction

  ORAL

  March 21, 2025, 9:24 AM – March 21, 2025, 9:36 AM

  Presenters

  • Lorenzo Cassola

    • University of Twente

  Authors

  • Lorenzo Cassola

    • University of Twente

  View abstract →

• Time non-locality in neural network training for enhanced learning efficiency

  ORAL

  March 21, 2025, 9:36 AM – March 21, 2025, 9:48 AM

  Publication: V. Demaurex, C. Sipling, Y.-H. Zhang, M. Di Ventra. Time non-locality in neural network training for enhanced learning efficiency. Planned publication.

  Presenters

  • Valérian F Demaurex

    • UCSD

  Authors

  • Valérian F Demaurex

    • UCSD

  • Chesson Sipling

    • University of California, San Diego

  • Yuan-Hang Zhang

    • University of California, San Diego

  • Massimiliano Di Ventra

    • University of California, San Diego

  View abstract →

• Abstract Withdrawn

  ORAL · Withdrawn

  March 21, 2025, 9:48 AM – March 21, 2025, 10:00 AM

  View abstract →

• Physics-Informed Deep Neural Networks for Layer Identification of 2D Materials

  ORAL

  March 21, 2025, 10:00 AM – March 21, 2025, 10:12 AM

  Presenters

  • Miche Maral

    • San Diego State University

  Authors

  • Miche Maral

    • San Diego State University

  • Antonio Cobarrubia

    • San Diego State University
    • Computational Science Research Center, San Diego State University, San Diego, CA 92182, United States

  • Ryan P Palmares

    • San Diego State University

  • Nate Webb

    • San Diego State University

  • Sanjay K Behura

    • San Diego State University
    • Department of Physics, San Diego State University, San Diego, CA 92182, United States

  • Jasmine Rodelas

    • San Diego State University

  View abstract →

• Extending Quantum Spin Dynamics Across Time and Space Using Neural Networks

  ORAL

  March 21, 2025, 10:12 AM – March 21, 2025, 10:24 AM

  Presenters

  • Povilas H Pugzlys

    • University of Florida

  Authors

  • Povilas H Pugzlys

    • University of Florida

  • Sam Dillon

    • University of Florida

  • Nhat Huy Mai Tran

    • University of Florida

  • Shreyas Varude

    • University of Florida

  • Xuzhe Ying

    • Hong Kong University of Science and Technology

  • Shuyi Li

    • University of Florida

  • Chunjing Jia

    • University of Florida

  View abstract →

• PLEM-MHD: Physics-constrained Latent Evolution Model for Magnetohydrodynamics

  ORAL

  March 21, 2025, 10:24 AM – March 21, 2025, 10:36 AM

  Presenters

  • Mahindra Rautela

    • Los Alamos National Laboratory

  Authors

  • Mahindra Rautela

    • Los Alamos National Laboratory

  • Christopher Leon

    • Los Alamos National Laboratory

  • Alexander Scheinker

    • Los Alamos National Laboratory

  View abstract →

• Adaptively Switching Gradient Descent for Reliable PINN Training with Guarantees

  ORAL

  March 21, 2025, 10:36 AM – March 21, 2025, 10:48 AM

  Presenters

  • Alan Williams

    • Los Alamos National Laboratory

  Authors

  • Alan Williams

    • Los Alamos National Laboratory

  • Mahindra Rautela

    • Los Alamos National Laboratory

  • Christopher Leon

    • Los Alamos National Laboratory

  • Alexander Scheinker

    • Los Alamos National Laboratory (LANL)

  View abstract →