Electrons, Phonons, Electron-Phonon Scattering, and Phononics V

FOCUS · K58 · ID: 2155700

Presentations

  • Photoactivated Ligand Exchange Dynamics in Tungsten-Complexes: A TDESMD Approach

    ORAL

    –

    Presenters

    • Dmitri Kilin

      North Dakota State University

    Authors

    • Dmitri Kilin

      North Dakota State University

    • KAMRUN NAHAR KEYA

      Iowa State University

    • Yulun Han

      North Dakota State University

    • Wenfang Sun

      University of Alabama, Tuscaloosa, University of Alabama

    • Wenjie Xia

      Iowa State University

    • Bakhtiyor Rasulev

      North Dakota State University

    • Svetlana Kilina

      North Dakota State University

    View abstract →

  • Machine Learning-Driven Predictions of Crystal Symmetry Groups Using Chemical Compositions in Binary and Ternary Materials

    ORAL

    –

    Publication: [1] Alghofaili, Yousef A., et al. "Accelerating Materials Discovery through Machine Learning: Predicting
    Crystallographic Symmetry Groups." The Journal of Physical Chemistry C 127.33 (2023): 16645-16653.

    [2] Alsaui, Abdulmohsen, et al. "Highly accurate machine learning prediction of crystal point groups for
    ternary materials from chemical formula." Scientific Reports 12.1 (2022): 1577.

    [3] Alsaui, Abdulmohsen A., et al. "Resampling techniques for materials informatics: limitations in crystal
    point groups classification." Journal of Chemical Information and Modeling 62.15 (2022): 3514-3523.

    [4] Baloch, Ahmer AB, et al. "Extending Shannon's ionic radii database using machine learning." Physical
    Review Materials 5.4 (2021): 043804.

    Presenters

    • Mohammed Alghadeer

      University of California, Berkeley, University of Oxford

    Authors

    • Mohammed Alghadeer

      University of California, Berkeley, University of Oxford

    • Yousef A Alghofaili

      Xpedite Information Technology

    • Abdulmohsen A Alsaui

      King Fahd Univ KFUPM

    • Saad M Alqahtani

      Jubail Industrial College

    • Fahhad H Alharbi

      King Fahd Univ KFUPM, Department of Electrical Engineering, King Fahd University of Petroleum and Minerals

    View abstract →