Machine Learning Material and Experimental Data I

Presentations

• Unsupervised machine learning of single crystal x-ray diffraction data

  Invited

  March 4, 2019, 8:00 AM – March 4, 2019, 8:36 AM

  Presenters

  • Jordan Venderley

    • Cornell University

  Authors

  • Jordan Venderley

    • Cornell University

  • Michael Matty

    • Cornell University

  • Eun-Ah Kim

    • Cornell University
    • Department of Physics, Cornell University

  View abstract →

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

  ORAL

  March 4, 2019, 8:36 AM – March 4, 2019, 8:48 AM

  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

  March 4, 2019, 8:48 AM – March 4, 2019, 9:00 AM

  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

  View abstract →

• Deep learning X-ray Absorption Near Edge Spectra

  ORAL

  March 4, 2019, 9:00 AM – March 4, 2019, 9:12 AM

  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

  View abstract →

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

  ORAL

  March 4, 2019, 9:12 AM – March 4, 2019, 9:24 AM

  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

  View abstract →

• Machine Learning Approach for the Discovery of Enhanced Magnetocaloric Effect in Single Molecule Magnets

  ORAL

  March 4, 2019, 9:24 AM – March 4, 2019, 9:36 AM

  Presenters

  • Prasanna Balachandran

    • University of Virginia

  Authors

  • Ludwig Holleis

    • University of Virginia

  • Bellave Shivaram

    • University of Virginia

  • Prasanna Balachandran

    • University of Virginia

  View abstract →

• A Classifier for Metal-Insulator Transitions

  ORAL

  March 4, 2019, 9:36 AM – March 4, 2019, 9:48 AM

  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

  View abstract →

• Machine-learning model to predict adsorption energies in thiolated bimetallic nanoclusters

  ORAL

  March 4, 2019, 9:48 AM – March 4, 2019, 10:00 AM

  Presenters

  • Gihan Panapitiya

    • West Virginia University

  Authors

  • Gihan Panapitiya

    • West Virginia University

  • Guillermo Avendaño Frano

    • West Virginia University

  • James Patrick Lewis

    • Department of Physics and Astronomy, West Virginia University
    • West Virginia University

  View abstract →

• Model Selection Based on Bayesian Inference that Uncovers Fundamental Dynamics of Desiccation Crack Patterns

  ORAL

  March 4, 2019, 10:00 AM – March 4, 2019, 10:12 AM

  Presenters

  • Shin-ichi Ito

    • University of Tokyo
    • The University of Tokyo

  Authors

  • Shin-ichi Ito

    • University of Tokyo
    • The University of Tokyo

  • Akio Nakahara

    • Nihon University

  • Satoshi Yukawa

    • Osaka University

  View abstract →

• A machine-learning approach to magnetic neutron scattering

  ORAL

  March 4, 2019, 10:12 AM – March 4, 2019, 10:24 AM

  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 →