Machine Learning Material and Experimental Data

FOCUS · K18

Presentations

  • Machine learning interatomic potentials with and without (much) human labor

    Invited

    –

    Presenters

    • Noam Bernstein

      Center for Computational Materials Science, US Naval Research Laboratory, Washington, DC 20375, USA, United States Naval Research Laboratory, Naval Research Laboratory

    Authors

    • Noam Bernstein

      Center for Computational Materials Science, US Naval Research Laboratory, Washington, DC 20375, USA, United States Naval Research Laboratory, Naval Research Laboratory

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  • Machine Learning for Ultrafast Electron Diffraction

    Invited

    –

    Presenters

    • Aravind Krishnamoorthy

      University of Southern California, Physics & Astronomy, University of Southern California

    Authors

    • Aravind Krishnamoorthy

      University of Southern California, Physics & Astronomy, University of Southern California

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  • Tree Tensor Networks for Generative Modeling

    ORAL

    –

    Presenters

    • Song Cheng

      Institute of Physics

    Authors

    • Song Cheng

      Institute of Physics

    • Tao Xiang

      Chinese Academy of Sciences (CAS), China, Institute of Physics, Institute of Physics, Chinese Academy of Sciences, Institute of Physics, CAS, Institute of Physics, Chinese Academy of Sciences, P.O. Box 603, Beijing 100190, China

    • Lei Wang

      Institute of Physics, Institute of Physics, Chinese Academy of Sciences, Institute of Physics Chinese Academy of Sciences

    • pan zhang

      institute of theoretical physics, Institute of Theoretical Physics, Chinese Academy of Sciences

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  • Learning from the Density to Correct Total Energy and Forces in First Principle Simulations

    ORAL

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    Presenters

    • Sebastian Dick

      Stony Brook University

    Authors

    • Sebastian Dick

      Stony Brook University

    • Marivi Fernandez Serra

      Stony Brook University, Department of Physics and Astronomy, Institute for Advance Computational Science, Stony Brook University, Department of Physics and Astronomy, and Institute for Advanced Computational Science, Stony Brook University, Department of Physics and Astronomy, Stony Brook Univerysity, U.S.A.

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  • Computational screening of experimental structural repositories for novel Li-ion conductors

    ORAL

    –

    Presenters

    • Leonid Kahle

      Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland

    Authors

    • Leonid Kahle

      Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland

    • Aris Marcolongo

      Cognitive Computing and Computational Sciences Department, IBM Research 8803 Zürich, Switzerland

    • Nicola Marzari

      Materials Science & Engineering, École polytechnique fédérale de Lausanne, Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne,, Ecole polytechnique federale de Lausanne, EPFL STI IMX THEOS, Ecole polytechnique federale de Lausanne, Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne, THEOS, Ecole Polytechnique Federale de Lausanne, Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland

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  • Insights on materials space

    ORAL

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    Presenters

    • Chandramouli Nyshadham

      Brigham Young University

    Authors

    • Chandramouli Nyshadham

      Brigham Young University

    • Kennedy lincoln

      Brigham Young University

    • Gus Hart

      Brigham Young University, Physics and Astronomy, Brigham Young University

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  • OMDB-GAP1: A new dataset for band gap predictions for large organic crystal structures

    ORAL

    –

    Presenters

    • Bart Olsthoorn

      NORDITA

    Authors

    • Bart Olsthoorn

      NORDITA

    • Richard Geilhufe

      NORDITA, Nordic Institute for Theoretical Physics, Stockholm University and KTH, Stockholm, Sweden, Nordic Institute for Theoretical Physics, Stockholm University, KTH Royal Institute of Technology, NORDITA, Nordic Institute for Theoretical Physics, KTH Royal Institute of Technology, Stockholm University, Nordic Institute for Theoretical Physics

    • Stanislav Borysov

      Technical University of Denmark, DTU

    • Alexander Balatsky

      Nordita, Los Alamos National Laboratory, Nordic Institute for Theoretical Physics, Stockholm, Institute for Materials Science, Los Alamos National Laboratory, NORDITA, Nordic Institute for Theoretical Physics, Los Alamos National Laboratory, Institute for Materials Science, Institute for Material Science, Los Alamos National Laboratory, Department of Physics, University of Connecticut, Storrs, CT 06269, USA

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  • Theory of band gaps in nano-porous SiC

    ORAL

    –

    Presenters

    • Blair Tuttle

      Penn State Erie

    Authors

    • Blair Tuttle

      Penn State Erie

    • Colton Barger

      Penn State Erie

    • Andrew O'Hara

      Physics, Vanderbilt University, Department of Physics and Astronomy, Vanderbilt University

    • Sokrates T Pantelides

      Department of Physics and Astronomy, Vanderbilt University, Vanderbilt University, physics, Vanderbilt University, Physics, Vanderbilt University, Department of Physics and Astronomy and Department of Electrical Engineering and Computer Science, Vanderbilt University, Dept. of Physics and Astronomy, Vanderbilt University, USA

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