Data Science, Artificial Intelligence and Machine Learning III

FOCUS · G32 · ID: 48667

Presentations

  • ORAL · Invited

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    Publication: Bar-Sinai et al. "Learning data-driven discretizations for partial differential equations." PNAS, 2019. https://www.pnas.org/doi/10.1073/pnas.1814058116

    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 →

  • ORAL

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    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

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  • ORAL

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    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

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  • ORAL

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    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

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  • ORAL

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    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).
    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 →