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Machine Learning in Nonlinear Physics and Mechanics II

ORAL · Y05 · ID: 381487

Presentations

  • Neuromorphics for network inference: <i>new techniques and validation in opto-electronic experiments</i>

    ORAL

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    Presenters

    • Amitava Banerjee

      University of Maryland, College Park

    Authors

    • Amitava Banerjee

      University of Maryland, College Park

    • Joseph Hart

      Optical sciences Division, US Naval Research Laboratory, Washington, DC 20375, U.S.A., Naval Research Lab

    • Rajarshi Roy

      University of Maryland, College Park, University of Maryland, Physics, University of Maryland, College Park

    • Edward Ott

      University of Maryland, College Park

    View abstract →

  • Deep learning enabled wavefront shaping in complex cavities with a binary tunable metasurface

    ORAL

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    Presenters

    • Benjamin Frazier

      University of Maryland, College Park

    Authors

    • Benjamin Frazier

      University of Maryland, College Park

    • Thomas M Antonsen

      University of Maryland, College Park

    • Steven M Anlage

      University of Maryland, College Park, Physics Department, University of Maryland, Physics, University of Maryland, College Park, Quantum Materials Center, University of Maryland, College Park

    View abstract →

  • Self-learning machines based on time reversal

    ORAL

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    Presenters

    • Victor Lopez Pastor

      Max Planck Inst for Sci Light

    Authors

    • Victor Lopez Pastor

      Max Planck Inst for Sci Light

    • Florian Marquardt

      Univ Erlangen Nuremberg, Max Planck Inst for Sci Light, Max Planck Institute for the Science of Light

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  • Learning active hydrodynamics from particle simulations

    ORAL

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    Presenters

    • Rohit Supekar

      MIT

    Authors

    • Rohit Supekar

      MIT

    • Boya Song

      MIT, Massachusetts Institute of Technology MIT, Department of Mathematics, Massachusetts Institute of Technology

    • Alasdair Hastewell

      Mathematics, Massachusetts Institute of Technology, MIT, Massachusetts Institute of Technology MIT

    • Alexander Mietke

      MIT, Department of Mathematics, Massachusetts Institute of Technology MIT, Mathematics, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

    • Jorn Dunkel

      Mathematics, Massachusetts Institute of Technology, MIT, Massachusetts Institute of Technology MIT, Department of Mathematics, Massachusetts Institute of Technology MIT, Mathematics, MIT, Massachusetts Institute of Technology, Department of Mathematics, Massachusetts Institute of Technology

    View abstract →

  • Machine learning active-nematic hydrodynamics

    ORAL

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    Presenters

    • Jonathan Colen

      University of Chicago

    Authors

    • Jonathan Colen

      University of Chicago

    • Ming Han

      University of Chicago

    • Rui Zhang

      University of Chicago, The Hong Kong University of Science and Technology

    • Steven Redford

      University of Chicago

    • Linnea M Lemma

      Physics, University of California, Santa Barbara

    • Link Morgan

      Physics, University of California, Santa Barbara

    • Paul Ruijgrok

      Stanford University

    • Raymond Adkins

      Physics, University of California, Santa Barbara, University of California, Santa Barbara

    • Zev Bryant

      Stanford University

    • Zvonimir Dogic

      Physics, University of California, Santa Barbara, University of California, Santa Barbara, University of California at Santa Barbara, Santa Barbara, University of California, Santa Barbara, Harvard University, Brandeis University

    • Margaret Gardel

      University of Chicago, Department of Physics, University of Chicago

    • Juan De Pablo

      University of Chicago, Molecular Engineering, University of Chicago, Institute for Molecular Engineering, University of Chicago, The Pritzker School of Molecular Engineering, University of Chicago

    • Vincenzo Vitelli

      University of Chicago, Department of Physics, University of Chicago, The University of Chicago

    View abstract →

  • Tracking Islands on Smectic Bubbles using Machine Learning

    ORAL

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    Presenters

    • Ravin Chowhury

      Physics and Soft Materials Research Center, University of Colorado Boulder

    Authors

    • Ravin Chowhury

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Eric Hedlund

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Adam AS Green

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Cheol Park

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

    • Joseph MacLennan

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

    • Noel Anthony Clark

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

    View abstract →

  • Learning the Constitutive Relation of Polymeric Flows with Memory

    ORAL

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    Presenters

    • John Molina

      Department of Chemical Engineering, Kyoto University

    Authors

    • Naoki Seryo

      Department of Chemical Engineering, Kyoto University

    • Takeshi Sato

      Institute for Chemical Research, Kyoto University

    • John Molina

      Department of Chemical Engineering, Kyoto University

    • Takashi Taniguchi

      National Institute for Materials Science, Japan, National Institute for Materials Science, Department of Chemical Engineering, Kyoto University, National Institute for Materials Science, Tsukuba, Ibaraki, Japan, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan, Materials, NIMS, International Center for Materials Anorthite, National Institute for Materials Science, Ibaraki, Japan, Kyoto University

    View abstract →

  • Defect Annihilation in Liquid Crystal Physics: Using Deep Learning to Probe the Dynamics of Defects

    ORAL

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    Presenters

    • Adam AS Green

      Physics and Soft Materials Research Center, University of Colorado Boulder

    Authors

    • Adam AS Green

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Ravin Chowdhury

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Eric Minor

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Stian Howard

      Physics and Soft Materials Research Center, University of Colorado Boulder

    • Cheol Park

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

    • Noel Anthony Clark

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

    View abstract →

  • Machine Learning approach to the discrimination of phospholipid gel and fluid states in lipid bilayers.

    ORAL

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    Presenters

    • Fabrice Thalmann

      Institut Charles Sadron, CNRS and University of Strasbourg, Institut Charles Sadron, Strasbourg, France

    Authors

    • Vivien Walter

      Department of Chemistry, Kings College London

    • Céline Ruscher

      Institut Charles Sadron, University of Strasbourg, Institut Charles Sadron, CNRS and University of Strasbourg

    • Carlos Marques

      Institut Charles Sadron, CNRS and University of Strasbourg

    • Olivier Benzerara

      Institut Charles Sadron, CNRS and University of Strasbourg

    • Fabrice Thalmann

      Institut Charles Sadron, CNRS and University of Strasbourg, Institut Charles Sadron, Strasbourg, France

    View abstract →