Physics-Informed and Theory-Integrated Machine Learning

FOCUS · MAR-U42 · ID: MAR-U42

Presentations

  • Invited-In-person · Invited

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    Publication: Heterotic String Model Building with Monad Bundles and Reinforcement Learning Andrei Constantin, Thomas R. Harvey, Andre Lukas. Fortsch.Phys. 70 (2022) 2-3, 2100186.
    Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing,
    Computation of quark masses from string theory, Andrei Constantin, Kit Fraser-Taliente, Thomas R. Harvey, Andre Lukas, Burt Ovrut. Published in: Nucl.Phys.B 1010 (2025) 116778.

    Presenters

    • Thomas Harvey

      • MIT, Department of Physics

    Authors

    • Thomas Harvey

      • MIT, Department of Physics

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  • Oral-In-person

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    Presenters

    • Abhijith Jayakumar

      • Los Alamos National Laboratory (LANL)

    Authors

    • Abhijith Jayakumar

      • Los Alamos National Laboratory (LANL)

    • Shreya Shukla

      • Los Alamos National Laboratory

    • Andrey Lokhov

      • Los Alamos National Laboratory (LANL)

    • Sidhant Misra

      • Los Alamos National Laboratory (LANL)

    • Marc Vuffray

      • Los Alamos National Laboratory (LANL)

    View abstract →

  • Oral-In-person

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    Publication: 1. K. Barakati, H. Yuan, A. Goyal and S. V. Kalinin, Physics-based reward driven image analysis in microscopy, Digital Discovery 3 (10), 2061-2069 (2024).
    2. K. Barakati, Y. Liu, C. Nelson, M. Ziatdinov, X. Zhang, I. Takeuchi and S. V. Kalinin, Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data, Advanced Materials 37 (35), 2418927 (2025).
    3. K. Barakati, U. Pratiush, A. C. Houston, G. Duscher and S. V. Kalinin, Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments, arXiv preprint arXiv:2409.12462 (2024).
    4. K. Barakati, Y. Liu, U. Pratiush, B. N. Slautin and S. V. Kalinin, Rewards-based image analysis in microscopy, arXiv preprint arXiv:2502.18522 (2025).
    5. K. Barakati, U. Pratiush, S. L. Sanchez, A. Raghavan, D. J. Milliron, M. Ahmadi, P. D. Rack and S. V. Kalinin, SAM $^{*} $: Task-Adaptive SAM with Physics-Guided Rewards, arXiv preprint arXiv:2509.07047 (2025).

    Presenters

    • Sergei Kalinin

      • University of Tennessee

    Authors

    • Kamyar Barakati

      • University Tennessee-Knoxville

    • Sergei Kalinin

      • University of Tennessee

    • Utkarsh Pratiush

    • Yu Liu

    • Boris Slautin

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  • Oral-In-person

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    Presenters

    • Byoungwoo Kang

      • University of California, Los Angeles

    Authors

    • Byoungwoo Kang

      • University of California, Los Angeles

    • Arpit Arora

      • University of California, Los Angeles

    • Emily Been

      • University of California, Los Angeles

    • Anastasia Pipi

      • University of California, Los Angeles

    • Valentin Duruisseaux

    • Taylor Patti

      • NVIDIA

    • Anima Anandkumar

      • Caltech

    • Prineha Narang

      • University of California, Los Angeles

    View abstract →