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Machine Learning in Nonlinear Physics and Mechanics

FOCUS · M34 · ID: 354960

Presentations

  • Detecting Depinning and Nonequilibrium Transitions with Unsupervised Machine Learning

    ORAL

    –

    Presenters

    • Danielle McDermott

      Pacific Univ

    Authors

    • Danielle McDermott

      Pacific Univ

    • Cynthia Reichhardt

      T1, Los Alamos National Laboratory, Los Alamos Natl Lab, Los Alamos National Laboratory, Theoretical Division, Los Alamos National Laboratory

    • Charles Reichhardt

      T4, Los Alamos National Laboratory, Los Alamos Natl Lab, Los Alamos National Laboratory, Theoretical Division, Los Alamos National Laboratory

    View abstract →

  • Machine Learning and Benchtop Experiments

    ORAL

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    Presenters

    • Shmuel Rubinstein

      Harvard University, School of Engineering and Applied Sciences, Harvard University

    Authors

    • Shmuel Rubinstein

      Harvard University, School of Engineering and Applied Sciences, Harvard University

    View abstract →

  • Supervised Autoencoder for Inverse Kirigami Design

    ORAL

    –

    Presenters

    • Ekin Dogus Cubuk

      Google, Google Inc., Google Inc, Google Brain

    Authors

    • Paul Hanakata

      Harvard University

    • Ekin Dogus Cubuk

      Google, Google Inc., Google Inc, Google Brain

    • David K Campbell

      Physics, Boston University, Boston University

    • Harold S. Park

      Boston University

    View abstract →

  • Softness Correlations in Low-Temperature Supercooled Liquids

    ORAL

    –

    Presenters

    • Rahul Chacko

      James Franck Institute, University of Chicago

    Authors

    • Rahul Chacko

      James Franck Institute, University of Chicago

    • François P Landes

      AO Team, Laboratoire de Recherche en Informatique

    • Giulio Biroli

      LPENS, Ecole Normale Superieure, Laboratoire de Physique, École normale supérieure, Ecole Normale Superieure, Physics, Ecole Normale Superieure

    • Olivier Dauchot

      Laboratoire Gulliver, École supérieure de physique et de chimie industrielles de la Ville de Paris

    • Andrea Jo-Wei Liu

      Univ of Pennsylvania, University of Pennsylvania, Department of Physics and Astronomy, University of Pennsylvania, Physics, University of Pennsylvania, Physics and Astronomy, University of Pennsylvania

    • David Reichman

      Columbia University, Department of Chemistry, Columbia University

    View abstract →

  • Using Machine Learning to analyze Defect Annihilation Dynamics in Smectic C films

    ORAL

    –

    Presenters

    • Matthew Glaser

      Physics and Soft Materials Research Center, University of Colorado Boulder, University of Colorado, Boulder, Department of Physics, University of Colorado, Boulder, Institute of Solid State Physics, Otto von Guericke University

    Authors

    • Matthew Glaser

      Physics and Soft Materials Research Center, University of Colorado Boulder, University of Colorado, Boulder, Department of Physics, University of Colorado, Boulder, Institute of Solid State Physics, Otto von Guericke University

    • Eric Minor

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Stian Howard

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Adam Green

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Cheol Park

      Physics and Soft Materials Research Center, University of Colorado Boulder, Physics and Soft Materials Research Center, University of Colorado

    • Noel Anthony Clark

      Physics and Soft Materials Research Center, University of Colorado Boulder, University of Colorado, Boulder, Department of Physics, University of Colorado, Boulder, Physics and Soft Materials Research Center, University of Colorado

    View abstract →

  • Experimental Realization of Reservoir Computing with Wave Chaotic Systems

    ORAL

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    Presenters

    • Shukai Ma

      University of Maryland, College Park

    Authors

    • Shukai Ma

      University of Maryland, College Park

    • Thomas M Antonsen

      University of Maryland, College Park

    • Edward Ott

      University of Maryland, College Park

    • Sarthak Chandra

      University of Maryland, College Park

    • Steven Anlage

      University of Maryland, College Park, Department of Physics and Department of Electrical and Computer Engineering, University of Maryland, College Park, Physics Department, University of Maryland, College Park, Center for Quantum Materials, University of Maryland

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  • Visualizing statistical models in Minkowski space: an analytical coordinate embedding

    ORAL

    –

    Presenters

    • Han Kheng Teoh

      Cornell University

    Authors

    • Han Kheng Teoh

      Cornell University

    • Katherine Quinn

      The Graduate Center, City University of New York, Princeton University

    • Colin B Clement

      Cornell University

    • Jaron Kent-Dobias

      Cornell University

    • Qingyang Xu

      Cornell University

    • James Patarasp Sethna

      Cornell University, Laboratory of Atomic and Solid State Physics, Cornell University

    View abstract →