AI and Neural Networks

FOCUS · C03 · ID: 3955284

Presentations

  • Physics-Informed Neural Networks

    ORAL

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    Presenters

    • Ava Oberrender

      Pennsylvania State University-Berks

    Authors

    • Ava Oberrender

      Pennsylvania State University-Berks

    • Antonio Falbo

      Pennsylvania State University-Berks

    • Agustin A Menjivar

      Pennsylvania State University-Berks

    • Alexey Prokudin

      Pennsylvania State University-Berks

    • Haley Rathman

      Pennsylvania State University-Berks

    View abstract →

  • Integrating AI/ML and Extreme-scale computing workflows to accelerate and control materials dynamics and synthesis

    ORAL · Invited

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    Publication: Bagchi, Soumendu, et al. "Towards" on-demand" van der Waals epitaxy with hpc-driven online ensemble sampling." arXiv preprint arXiv:2504.05539 (2025).
    Morelock, R. J., et al. "pyRMG: A Python Framework for High-Throughput, Large-Cell Real-Space MultiGrid DFT Calculations." arXiv preprint arXiv:2509.16775 (2025).
    Boebinger, Matthew G., et al. "Deciphering Growth Kinetics of a Topological Insulator using in-situ 4D-STEM." Microscopy and Microanalysis 31.Supplement_1 (2025): ozaf048-092.
    Tian, Yifeng, et al. "Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning." npj computational materials 10.1 (2024): 219.

    Presenters

    • Soumendu Bagchi

      Oak Ridge National Laboratory

    Authors

    • Soumendu Bagchi

      Oak Ridge National Laboratory

    View abstract →