Machine Learning Applications in Experimental Quantum Materials Research

Presentations

• Learning Quantum Emergence with AI.

  Invited

  March 4, 2019, 2:30 PM – March 4, 2019, 3:06 PM

  Presenters

  • Eun-Ah Kim

    • Cornell University
    • Department of Physics, Cornell University

  Authors

  • Eun-Ah Kim

    • Cornell University
    • Department of Physics, Cornell University

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• Electron Microscopy of Quantum Materials: From Learning Physics to Atomic Manipulation

  Invited

  March 4, 2019, 3:06 PM – March 4, 2019, 3:42 PM

  Presenters

  • Sergei Kalinin

    • Institute for Functional Imaging of Materials, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory

  Authors

  • Sergei Kalinin

    • Institute for Functional Imaging of Materials, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory

  • Andrew Lupini

    • Oak Ridge National Laboratory

  • Stephen Jesse

    • Center for Nanophase Materials Science, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory

  • Rama K Vasudevan

    • Oak Ridge National Laboratory

  • Maxim Ziatdinov

    • Oak Ridge National Laboratory

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• Bridging simulations and theories of correlated electron materials using ideas from machine learning

  Invited

  March 4, 2019, 3:42 PM – March 4, 2019, 4:18 PM

  Presenters

  • Lucas Wagner

    • University of Illinois at Urbana-Champaign

  Authors

  • Lucas Wagner

    • University of Illinois at Urbana-Champaign

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• Autonomous Quantum Materials Research: Phase Mapping

  Invited

  March 4, 2019, 4:18 PM – March 4, 2019, 4:54 PM

  Presenters

  • A. Gilad Kusne

    • Materials Measurement & Science Division, National Institute of Standards & Technology

  Authors

  • A. Gilad Kusne

    • Materials Measurement & Science Division, National Institute of Standards & Technology

  • Tieren Gao

    • Materials Science & Engineering Dept, University of Maryland

  • Brian DeCost

    • Materials Measurement & Science Division, National Institute of Standards & Technology

  • Jason Hattrick-Simpers

    • Materials Measurement & Science Division, National Institute of Standards & Technology

  • Apurva Mehta

    • Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory
    • SLAC National Accelerator Laboratory
    • SLAC

  • Ichiro Takeuchi

    • Materials Science and Engineering, University of Maryland
    • University of Maryland
    • University of Maryland, College Park
    • Materials Science & Engineering Dept, University of Maryland

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• Machine learning modeling of superconducting critical temperature

  Invited

  March 4, 2019, 4:54 PM – March 4, 2019, 5:30 PM

  Presenters

  • Valentin Stanev

    • University of Maryland, College Park

  Authors

  • Valentin Stanev

    • University of Maryland, College Park

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