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Data Science, Artificial Intelligence and Machine Learning III

FOCUS · G32 · ID: 48667

Presentations

  • Learned numerical methods for solving partial differential equations

    ORAL · Invited

    –

    Publication: Bar-Sinai et al. "Learning data-driven discretizations for partial differential equations." PNAS, 2019. https://www.pnas.org/doi/10.1073/pnas.1814058116<br><br>Kochkov et al. "Machine learning accelerated computational fluid dynamics." PNAS, 2021. https://www.pnas.org/doi/10.1073/pnas.2101784118

    Presenters

    • Stephan Hoyer

      Google LLC

    Authors

    • Stephan Hoyer

      Google LLC

    View abstract →

  • Machine learning study for perovskite solar cell

    ORAL

    –

    Presenters

    • Chunjing Jia

      SLAC - Natl Accelerator Lab, Stanford University; SLAC National Accelerator Laboratory, SLAC National Accelerator Lab

    Authors

    • Cheng Peng

      SLAC - Natl Accelerator Lab, Stanford University

    • Feng Ke

      Stanford University

    • Wendy L Mao

      Stanford Univ

    • Thomas P Devereaux

      Stanford Univ, Stanford University; SLAC National Accelerator Laboratory, Stanford University

    • Yu Lin

      SLAC - Natl Accelerator Lab

    • Chunjing Jia

      SLAC - Natl Accelerator Lab, Stanford University; SLAC National Accelerator Laboratory, SLAC National Accelerator Lab

    View abstract →

  • Learning material physics from images of battery primary particles

    ORAL

    –

    Presenters

    • Hongbo Zhao

      Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    Authors

    • Hongbo Zhao

      Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    • Haitao D Deng

      Stanford University

    • William Chueh

      Stanford University

    • Richard D Braatz

      Massachusetts Institute of Technology MIT

    • Martin Bazant

      Massachusetts Institute of Technology MIT

    View abstract →

  • A physics-driven study of dominant regions in soccer

    ORAL

    –

    Publication: 1. A physics-driven study of dominant regions in soccer (planned paper)

    Presenters

    • Gregory DeCamillis

      Department of Physics, University of Central Florida

    Authors

    • Indranil Ghosh

      University of Colorado Boulder, School of Fundamental Sciences, Massey University

    • Costas J Efthimiou

      Department of Physics, University of Central Florida

    • Gregory DeCamillis

      Department of Physics, University of Central Florida

    View abstract →

  • Lattice Strain Evolution in Na-NMC Battery From Electron Diffraction Patterns Using Deep Learning

    ORAL

    –

    Publication: J Munshi, AM Rakowski, B Savitzky, C Ophus, ML Henderson, S Cholia, MKY Chan, "4D> Crystal: Deep Learning Crystallographic Information From Electron Diffraction Images," Microscopy and Microanalysis 27 (S1), 2774-2776 (2021).<br>AM Rakowski, J Munshi, B Savitzky, S Cholia, ML Henderson, MKY Chan, C Ophus, "Open-Source Tools and Containers for the Production of Large-Scale S/TEM Datasets," Microscopy and Microanalysis 27 (S1), 62-63 (2021).

    Presenters

    • Yuzi Liu

      Argonne National Laboratory

    Authors

    • Joydeep Munshi

      Argonne National Lab, Argonne National Laboratory

    • Yuzi Liu

      Argonne National Laboratory

    • Guiliang Xu

      Argonne National Laboratory

    • Colin L Ophus

      National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory

    • Maria K Chan

      Argonne National Laboratory

    View abstract →