Machine Learning Applications in Experimental Quantum Materials Research

INVITED · C62

Presentations

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

    Invited

    –

    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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  • Autonomous Quantum Materials Research: Phase Mapping

    Invited

    –

    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

    View abstract →