Machine Learning in Condensed Matter Physics V

ORAL · X34

Presentations

  • Classifying Surface Probe Images in Strongly Correlated Electronic Systems Via Machine Learning

    ORAL

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    Presenters

    • Erica Carlson

      Physics and Astronomy, Purdue University, Department of Physics, Purdue University, Department of Physics and Astronomy, Purdue University

    Authors

    • Erica Carlson

      Physics and Astronomy, Purdue University, Department of Physics, Purdue University, Department of Physics and Astronomy, Purdue University

    • Lukasz Burzawa

      Computer Science, Purdue University

    • Shuo Liu

      Physics and Astronomy, Purdue University

    View abstract →

  • AI Identification of the Intertwined Electronic Ordered State Hidden in Complex Electronic Structure Images

    ORAL

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    Presenters

    • Andrej Mesaros

      Cornell University

    Authors

    • Andrej Mesaros

      Cornell University

    • Kelvin Chng

      San Jose State University

    • Kazuhiro Fujita

      Brookhaven National Lab

    • Stephen Edkins

      University of St. Andrews, Stanford University

    • Mohammad Hamidian

      Harvard University, University of California at Davis, Physics, Harvard University

    • Hiroshi Eisaki

      IAIST, Inst. of Advanced Industrial Science and Tech., Tsukuba,, National Institute for Advanced Industrial Science and Technology, National Institute of Advanced Industrial Science and Technology, Electronics and Photonics Research Institute, National Institute of Advanced Industrial Science and Technology, AIST

    • Shin-ichi Uchida

      University of Tokyo

    • James Davis

      Cornell University, LASSP, Cornell University, LASSP, Physics, Cornell University

    • Ehsan Khatami

      San Jose State Univ, San Jose State University, Physics and Astronomy, San Jose State University

    • Eun-Ah Kim

      Cornell University, Cornell Univ, Department of Physics, Cornell University, Physics, Cornell University

    View abstract →

  • Compact representation of crystal structures using three-dimensional diffraction patterns and deep learning

    ORAL

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    Presenters

    • Angelo Ziletti

      Theory, Fritz Haber Institute of the Max Planck Society

    Authors

    • Angelo Ziletti

      Theory, Fritz Haber Institute of the Max Planck Society

    • Matthias Scheffler

      Fritz Haber Institute of the Max Planck Society, Theory, Fritz Haber Institute of the Max Planck Society, Fritz-Haber-Institut der Max-Planck-Gesselschaft, Theory , Fritz-Haber Institute, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin-Dahlem, Germany, Theory Department, Fritz Haber Institute

    • Luca Ghiringhelli

      Fritz Haber Institute of the Max Planck Society, Theory, Fritz Haber Institute of the Max Planck Society, Theory , Fritz-Haber Institute, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin-Dahlem, Germany, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Theory Department, Fritz Haber Institute

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  • Predictions of New ABO3 Perovskite Compounds by Combining Machine Learning and Density Functional Theory

    ORAL

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    Presenters

    • Alex Zunger

      Univ of Colorado - Boulder, 2630 julliard st, Univ of Colorado - Boulder, Renewable and Sustainable Energy Institute, University of Colorado, University of Colorado, University of Colorado, Boulder

    Authors

    • Prasanna Balachandran

      Los Alamos Natl Lab

    • Antoine Emery

      Materials Science and Engineering, Northwestern University

    • James Gubernatis

      Los Alamos Natl Lab

    • Turab Lookman

      Los Alamos Natl Lab, Theoretical Division, Los Alamos National Lab

    • Christopher Wolverton

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

    • Alex Zunger

      Univ of Colorado - Boulder, 2630 julliard st, Univ of Colorado - Boulder, Renewable and Sustainable Energy Institute, University of Colorado, University of Colorado, University of Colorado, Boulder

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  • Deep Learning of Perovskite Octahedral Rotations from Electron Microscopy

    ORAL

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    Presenters

    • Nouamane Laanait

      Computational Sciences And Engineering Division, Oak Ridge National Laboratory, Center for Nanophase Materials Science, , Oak Ridge National Lab

    Authors

    • Nouamane Laanait

      Computational Sciences And Engineering Division, Oak Ridge National Laboratory, Center for Nanophase Materials Science, , Oak Ridge National Lab

    • Albina Borisevich

      Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge National Lab, Condensed Matter Sciences, Oak Ridge National Lab

    View abstract →

  • Continuous Representation of Chemical Environments for the Prediction of Material Properties

    ORAL

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    Presenters

    • Tian Xie

      Department of Materials Science and Engineering, Massachusetts Inst of Tech-MIT, Massachusetts Institute of Technology

    Authors

    • Tian Xie

      Department of Materials Science and Engineering, Massachusetts Inst of Tech-MIT, Massachusetts Institute of Technology

    • Arthur France-Lanord

      Research Laboratory of Electronics, Massachusetts Inst of Tech-MIT, Research Laboratory of Electronics, Massachusetts Institute of Technology

    • Yanming Wang

      Research Laboratory of Electronics, Massachusetts Inst of Tech-MIT, Massachusetts Institute of Technology, Research Laboratory of Electronics, Massachusetts Institute of Technology

    • Jeffrey Grossman

      Department of Materials Science and Engineering, Massachusetts Inst of Tech-MIT, Massachusetts Institute of Technology, Department of Materials Science and Engineering, Massachusetts Institute of Technology, Massachusetts Inst of Tech-MIT, MIT

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  • Neural network potentials for disordered carbon and silicon systems.

    ORAL

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    Presenters

    • Jorge Hernandez Zeledon

      physics and astronomy , West Virginia Univ

    Authors

    • Jorge Hernandez Zeledon

      physics and astronomy , West Virginia Univ

    • James Lewis

      Department of Physics and Astronomy, West Virginia Univ, physics and astronomy , West Virginia Univ, Physics and Astronomy, West Virginia Univ

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  • Electronic Band Structure Prediction with Machine Learning

    ORAL

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    Presenters

    • Bart Olsthoorn

      Nordita, NORDITA

    Authors

    • Bart Olsthoorn

      Nordita, NORDITA

    • Stanislav Borysov

      Nordita, Nordita, KTH Royal Institute of Technology and Stockholm University, NORDITA

    • Richard Geilhufe

      Nordita, Nordita, KTH Royal Institute of Technology and Stockholm University, NORDITA

    • Alexander Balatsky

      NORDITA, Institute for Materials Science, Los Alamos National Laboratory, Nordita, Los Alamos Natl Lab, Nordita, KTH Royal Institute of Technology and Stockholm University; Institute for Materials Science, Los Alamos National Laboratory; Department of Physics, University of Conn, Instittute for Materials Science, Los Alamos National Laboratory, Institute for Materials Science, Los Alamos National Laboratory/Nordita/University of Connecticut

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  • Active Machine Learning for Combinatorial Exploration of Metal-Insulator Transitions

    ORAL

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    Presenters

    • Brian DeCost

      Materials Measurement Science Division, National Institute of Standards and Technology

    Authors

    • Brian DeCost

      Materials Measurement Science Division, National Institute of Standards and Technology

    • Jason Hattrick-Simpers

      Materials Measurement Science Division, National Institute of Standards and Technology

    • Yangang Liang

      Materials Science and Engineering, University of Maryland

    • Ichiro Takeuchi

      Materials Science and Engineering, University of Maryland, University of Maryland, Univ of Maryland-College Park, Materials Science and Engineering, Univ of Maryland

    • Aaron Kusne

      Materials Measurement Science Division, National Institute of Standards and Technology

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  • A machine-driven hunt for global reaction coordinates of azobenzene photoisomerization

    ORAL

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    Presenters

    • James Lewis

      Department of Physics and Astronomy, West Virginia Univ, physics and astronomy , West Virginia Univ, Physics and Astronomy, West Virginia Univ

    Authors

    • James Lewis

      Department of Physics and Astronomy, West Virginia Univ, physics and astronomy , West Virginia Univ, Physics and Astronomy, West Virginia Univ

    • Pedram Tavadze

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

    • Guillermo Avendaño-Franco

      Department of Physics and Astronomy, West Virginia Univ

    • Pengju Ren

      State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science

    • Xiaodong Wen

      State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science

    • Yongwang Li

      State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science

    View abstract →