Plenary I

FOCUS · A01 · ID: 764523

Presentations

  • Lightning Interferometry, attachment, and wind energy

    ORAL · Invited

    –

    Publication: 1) Production of runaway electrons and x-rays during streamer inception phase, (submitted to Journal of Physics D, Sept 2022)
    2) Jensen, D. P., Sonnenfeld, R. G., Stanley, M. A., Edens, H. E., da Silva, C. L., & Krehbiel, P. R. (2021). Dart-leader
    and K-leader velocity from initiation site to termination time-resolved with 3D interferometry. Journal of Geophysical Research: Atmospheres, 126, e2020JD034309. https://doi.org/10.1029/2020JD034309

    Presenters

    • Richard G Sonnenfeld

      New Mexico Tech and Langmuir Lab, New Mexico Institute of Mining and Techn

    Authors

    • Richard G Sonnenfeld

      New Mexico Tech and Langmuir Lab, New Mexico Institute of Mining and Techn

    • Daniel P Jensen

      New Mexico Tech and Langmuir Lab

    • Xuan-Min Shao

      Los Alamos National Laboratory

    • Luis Contreras Vidal

      New Mexico Tech and Langmuir Lab

    • Caitano da Silva

      New Mexico Tech and Langmuir Lab

    View abstract →

  • Machine Learning for Chemical Properties and Materials

    ORAL · Invited

    –

    Publication: References:
    1. J. S. Smith, B. Nebgen, N. Mathew, J. Chen, N. Lubbers, L. Burakovsky, S. Tretiak, H. Ah Nam,
    T. Germann, S. Fensin, K. Barros, "Automated discovery of a robust interatomic potential for
    aluminum" Nature Comm. 12, 1257 (2021).
    2. A. E. Sifain, L. Lystrom, R. Messerly, J. S. Smith, B. Nebgen, K. Barros, S. Tretiak, N. Lubbers,
    and B. J. Gifford, "Predicting Phosphorescence and Inferring Wavefunction Localization with
    Machine Learning," Chem. Sci., 12, 10207 – 10217 (2021).
    3. R. Zubatyuk, B. Nebgen, J. S. Smith, S. Tretiak and O. Isayev, "Teaching neural network to attach
    and detach electrons from molecules" Nature Comm. 12, 4870 (2021).
    4. M. Kulichenko, J. S. Smith, B. Nebgen, N. Fedik, A. I. Boldyrev, N. Lubbers, K. Barros and S.
    Tretiak, "The rise of neural networks for materials and chemical dynamics," J. Phys. Chem. Lett.
    (Perspectives, journal cover page) 12, 6227 – 6244 (2021).

    Presenters

    • Sergei Tretiak

      Los Alamos Natl Lab

    Authors

    • Sergei Tretiak

      Los Alamos Natl Lab

    View abstract →