Physics-informed Neural Networks and Machine Learning I

Presentations

• Associative Memory in a Quantum-Optical Neural Network

  ORAL · Invited

  March 20, 2025, 3:00 PM – March 20, 2025, 3:36 PM

  Presenters

  • Brendan P Marsh

    • Stanford University

  Authors

  • Brendan P Marsh

    • Stanford University

  • David Atri-Schuller

    • Stanford University

  • Henry Stockton Hunt

    • Stanford University

  • Yunpeng Ji

    • Stanford University

  • Surya Ganguli

    • Stanford University

  • Jonathan Keeling

    • University of St Andrews

  • Sarang Gopalakrishnan

    • Princeton University
    • Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544
    • Princeton University Princeton

  • Benjamin L Lev

    • Stanford University

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• Abstract Withdrawn

  ORAL · Withdrawn

  March 20, 2025, 3:36 PM – March 20, 2025, 3:48 PM

  View abstract →

• Addressing few-body nuclear systems by Physics-Informed Neural Networks

  ORAL

  March 20, 2025, 3:48 PM – March 20, 2025, 4:00 PM

  Presenters

  • Lorenzo Brevi

    • University of Milan

  Authors

  • Lorenzo Brevi

    • University of Milan

  • Antonio Mandarino

    • University of Milan

  • Carlo Barbieri

    • University of Milan, INFN

  • Enrico Prati

    • University of Milan
    • Università degli Studi di Milano
    • Università di Milano

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• Sample-efficient, low-light image sensing through Eigentask Learning: Part 1 (Theory)

  ORAL

  March 20, 2025, 4:00 PM – March 20, 2025, 4:12 PM

  Presenters

  • Tianyang Chen

    • Princeton University

  Authors

  • Tianyang Chen

    • Princeton University

  • Mandar Sohoni

    • Cornell University

  • Saeed A Khan

    • Cornell University

  • Jeremie Laydevant

    • Cornell University

  • Shi-Yuan Ma

    • Cornell University

  • Tianyu Wang

    • Boston University

  • Peter L McMahon

    • Cornell University

  • Hakan E Tureci

    • Princeton University

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• Sample-efficient, low-light image sensing through Eigentask Learning: Part 2 (Experiment)

  ORAL

  March 20, 2025, 4:12 PM – March 20, 2025, 4:24 PM

  Presenters

  • Mandar Sohoni

    • Cornell University

  Authors

  • Mandar Sohoni

    • Cornell University

  • Tianyang Chen

    • Princeton University

  • Saeed A Khan

    • Cornell University

  • Jeremie Laydevant

    • Cornell University

  • Shi-Yuan Ma

    • Cornell University

  • Tianyu Wang

    • Boston University

  • Hakan E Tureci

    • Princeton University

  • Peter L McMahon

    • Cornell University

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• Unsupervised Machine Learning for Detecting Mutually Independent Eigenstate Regimes in Interacting Fermionic Chains

  ORAL

  March 20, 2025, 4:24 PM – March 20, 2025, 4:36 PM

  Publication: arXiv:2407.06253

  Presenters

  • Yi-Ting Hsu

    • University of Notre Dame

  Authors

  • Yi-Ting Hsu

    • University of Notre Dame

  • Kathleen Hart

    • University of Notre Dame

  • Colin Beveridge

    • University of Notre Dame

  • Cassio Cristani

    • Catholic University of the Sacred Heart

  • Xiao Li

    • City Univ of Hong Kong

  • Enrico Barbierato

    • Catholic University of the Sacred Heart

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• Physics-informed Generative models for learning the stochastic diffusion of single particle trajectories

  ORAL

  March 20, 2025, 4:36 PM – March 20, 2025, 4:48 PM

  Publication: Shabeeb, Zain, et al. "Learning the Physics of Liquid Phase TEM Nanoparticle Trajectories Using Physics-Informed Generative AI." Microscopy and Microanalysis 30.Supplement_1 (2024).
  

  Presenters

  • Vida Jamali

    • Georgia Institute of Technology

  Authors

  • Vida Jamali

    • Georgia Institute of Technology

  • Zain Shabeeb

    • Georgia Institute of Technology

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• Physics-informed Neural Networks (PINNs) for Orientation Estimation from IMU sensors

  ORAL

  March 20, 2025, 4:48 PM – March 20, 2025, 5:00 PM

  Presenters

  • Vivek Karmarkar

    • University of Iowa

  Authors

  • Vivek Karmarkar

    • University of Iowa

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• Variational formulation of physics-informed neural networks (vfPINN)

  ORAL

  March 20, 2025, 5:00 PM – March 20, 2025, 5:12 PM

  Presenters

  • Chinmay Katke

    • Virginia Tech

  Authors

  • Chinmay Katke

    • Virginia Tech

  • C. Nadir Kaplan

    • Virginia Tech

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• Inverse design of comminution process parameters using physics-informed neural operator learning

  ORAL

  March 20, 2025, 5:12 PM – March 20, 2025, 5:24 PM

  Publication: M. Lu, Y. Xia, T. Bhattacharjee, J. Klinger and Z. Li. Predicting biomass comminution: Physical experiment, population balance model, and deep learning. Powder Technology, 2024, 441: 119830.

  Presenters

  • Zhen Li

    • Clemson University

  Authors

  • Zhen Li

    • Clemson University

  • Minglei Lu

    • Clemson University

  • Jordan Klinger

    • Idaho National Laboratory

  • Yidong Xia

    • Idaho National Laboratory

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• Data-driven estimation of neural network Hamiltonian in wave kinetic theory

  ORAL

  March 20, 2025, 5:24 PM – March 20, 2025, 5:36 PM

  Presenters

  • Yoh-ichi Mototake

    • Physical Society of Japan

  Authors

  • Yoh-ichi Mototake

    • Physical Society of Japan

  • Makoto Sasaki

    • Nihon university

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• chebgreen: Learning and Interpolating Continuous Empirical Green’s Functions from Data

  ORAL

  March 20, 2025, 5:36 PM – March 20, 2025, 5:48 PM

  Publication: We plan to submit this work to Computer Methods in Applied Mechanics and Engineering.

  Presenters

  • Harshwardhan Praveen

    • Cornell University

  Authors

  • Harshwardhan Praveen

    • Cornell University

  • Jacob Brown

    • Cornell University

  • Christopher Earls

    • Cornell University
    • Cornell university

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• Abstract Withdrawn

  ORAL · Withdrawn

  March 20, 2025, 5:48 PM – March 20, 2025, 6:00 PM

  View abstract →