Machine Learning Material and Experimental Data I

FOCUS · A18

Presentations

  • X-ray hyperspectral classification of the metal-insulator transition in NdNiO3

    ORAL

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    Presenters

    • William Zheng

      Columbia University

    Authors

    • William Zheng

      Columbia University

    • Alexander Swinton McLeod

      Physics, Columbia University, Columbia University, Department of Physics, Columbia University

    • Kirk W Post

      University of California San Diego

    • Matthias Hepting

      SLAC National Accelerator Laboratory, SIMES, SLAC National Accelerator Lab, Max Planck Institute Stuttgart

    • Martin Bluschke

      Max Planck Institute Stuttgart

    • Matteo Minola

      Max-Planck-Institut, Max Planck Institute Stuttgart

    • Alexander Boris

      Max Planck Institute for Solid State Research, Max Planck Institute Stuttgart

    • Eva Benckiser

      Max Planck Institute Stuttgart

    • Rajesh V Chopdekar

      University of California, Davis, Materials Science and Engineering, University of California Davis, Advanced Light Source, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA, LBNL Advanced Light Source

    • Andreas Scholl

      LBNL Advanced Light Source

    • Bernhard Keimer

      max planck inst., Max Planck Institute for Solid State Research, max planck institut, Max-Planck-Institut, Max Planck Institute for Solid State Research, Stuttgart, Germany, Max Planck Institute Stuttgart

    • Dimitri Basov

      Department of Physics, Columbia University in the City of New York, Department of Physics, Columbia University, New York 10027, department of physics, columbia university, Department of Physics, Columbia University, Physics, Columbia University, Columbia University

    View abstract →

  • Classifying Grazing Incidence X-ray Scattering Patterns via Convolutional Neural Networks

    ORAL

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    Presenters

    • Charles Melton

      Lawrence Berkeley National Lab, Advanced Light Source, Lawrence Berkeley National Laboratory

    Authors

    • Charles Melton

      Lawrence Berkeley National Lab, Advanced Light Source, Lawrence Berkeley National Laboratory

    • Shuai Liu

      University of California, Berkeley, University of California Berkeley

    • Alexander Hexemer

      Advanced Light Source, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Lab, Lawrence Berkeley National Laboratory

    • Daniela Ushizima

      Lawrence Berkeley National Laboratory

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  • Deep learning X-ray Absorption Near Edge Spectra

    ORAL

    –

    Presenters

    • Liang Li

      Argonne National Laboratory, Argonne National Lab, Center for Nanoscale Materials, Argonne National Laboratory

    Authors

    • Liang Li

      Argonne National Laboratory, Argonne National Lab, Center for Nanoscale Materials, Argonne National Laboratory

    • Maria Chan

      Argonne National Lab, Argonne National Laboratory, Center for Nanoscale Materials, Argonne National Laboratory

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  • Using machine learning to predict local chemical environments from X-ray absorption spectra

    ORAL

    –

    Presenters

    • Deyu Lu

      Center for Functional Nanomaterials, Brookhaven National Laboratory, Brookhaven National Laboratory, Center for Functional Nanomaterials, Brookhaven National Laboratory

    Authors

    • Deyu Lu

      Center for Functional Nanomaterials, Brookhaven National Laboratory, Brookhaven National Laboratory, Center for Functional Nanomaterials, Brookhaven National Laboratory

    • Matthew Carbone

      Columbia university

    • Mehmet Topsakal

      Brookhaven National Laboratory, Center for Functional Nanomaterials, Columbia university

    • Shinjae Yoo

      Brookhaven National Laboratory

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  • A Classifier for Metal-Insulator Transitions

    ORAL

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    Presenters

    • Nicholas Wagner

      Materials Science and Engineering, Northwestern University

    Authors

    • Nicholas Wagner

      Materials Science and Engineering, Northwestern University

    • James M Rondinelli

      Northwestern University, Northwestern university, Department of Materials Science and Engineering, Northwestern Univ, Materials Science and Engineering, Northwestern University, Department of Materials Science and Engineering, Northwestern University

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  • A machine-learning approach to magnetic neutron scattering

    ORAL

    –

    Presenters

    • Jorge Quintanilla

      SPS, University of Kent, School of Physical Sceinces, University of Kent, Canterbury, UK, Physics, University of Kent, University of Kent

    Authors

    • Robert Twyman

      University of Kent

    • Stuart J. Gibson

      University of Kent

    • James Molony

      University of Durham

    • Jorge Quintanilla

      SPS, University of Kent, School of Physical Sceinces, University of Kent, Canterbury, UK, Physics, University of Kent, University of Kent

    View abstract →