Machine Learning in Condensed Matter Physics V

Presentations

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

  ORAL

  March 9, 2018, 8:00 AM – March 9, 2018, 8:12 AM

  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

  March 9, 2018, 8:12 AM – March 9, 2018, 8:24 AM

  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

  March 9, 2018, 8:24 AM – March 9, 2018, 8:36 AM

  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

  View abstract →

• Stochastic Replica Voting Machine Prediction of Stable Perovskite, Double Perovskite and Binary Alloys

  ORAL

  March 9, 2018, 8:36 AM – March 9, 2018, 8:48 AM

  Presenters

  • Tahereh Mazaheri Kouhani

    • Physics, Washington University in St. Louis

  Authors

  • Tahereh Mazaheri Kouhani

    • Physics, Washington University in St. Louis

  View abstract →

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

  ORAL

  March 9, 2018, 8:48 AM – March 9, 2018, 9:00 AM

  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

  View abstract →

• Deep Learning of Perovskite Octahedral Rotations from Electron Microscopy

  ORAL

  March 9, 2018, 9:00 AM – March 9, 2018, 9:12 AM

  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

  March 9, 2018, 9:12 AM – March 9, 2018, 9:24 AM

  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

  View abstract →

• Neural network potentials for disordered carbon and silicon systems.

  ORAL

  March 9, 2018, 9:24 AM – March 9, 2018, 9:36 AM

  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

  View abstract →

• Electronic Band Structure Prediction with Machine Learning

  ORAL

  March 9, 2018, 9:36 AM – March 9, 2018, 9:48 AM

  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

  View abstract →

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

  ORAL

  March 9, 2018, 9:48 AM – March 9, 2018, 10:00 AM

  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

  View abstract →

• Epitaxial angle of MoS₂ grown on <i>h</i>-BN: A first principle and machine learning study

  ORAL

  March 9, 2018, 10:00 AM – March 9, 2018, 10:12 AM

  Presenters

  • Talat Rahman

    • Physics, University of Central Florida

  Authors

  • Talat Rahman

    • Physics, University of Central Florida

  • Duy Le

    • Physics, University of Central Florida

  View abstract →

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

  ORAL

  March 9, 2018, 10:12 AM – March 9, 2018, 10:24 AM

  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 →

• A Data Driven Statistical Model to Predict Critical Temperature of Superconducting Material

  ORAL

  March 9, 2018, 10:24 AM – March 9, 2018, 10:36 AM

  Presenters

  • Kam Hamidieh

    • Statistics and Data Sciences, Univ of Texas, Austin

  Authors

  • Kam Hamidieh

    • Statistics and Data Sciences, Univ of Texas, Austin

  View abstract →