Machine Learning in Nonlinear Physics and Mechanics II
ORAL · Y05 · ID: 381487
Presentations
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Neuromorphics for network inference: <i>new techniques and validation in opto-electronic experiments</i>
ORAL
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Presenters
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Amitava Banerjee
- University of Maryland, College Park
Authors
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Amitava Banerjee
- University of Maryland, College Park
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Joseph Hart
- Optical sciences Division, US Naval Research Laboratory, Washington, DC 20375, U.S.A.
- Naval Research Lab
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Rajarshi Roy
- University of Maryland, College Park
- University of Maryland
- Physics, University of Maryland, College Park
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Edward Ott
- University of Maryland, College Park
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Reconstruction of Protein Structures from Single-Molecule Time Series
ORAL
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Presenters
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Maximilian Topel
- University of Chicago
Authors
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Maximilian Topel
- University of Chicago
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Andrew Ferguson
- University of Chicago
- Pritzker School of Molecular Engineering, University of Chicago
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Deep learning enabled wavefront shaping in complex cavities with a binary tunable metasurface
ORAL
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Presenters
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Benjamin Frazier
- University of Maryland, College Park
Authors
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Benjamin Frazier
- University of Maryland, College Park
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Thomas M Antonsen
- University of Maryland, College Park
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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
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Self-learning machines based on time reversal
ORAL
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Presenters
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Victor Lopez Pastor
- Max Planck Inst for Sci Light
Authors
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Victor Lopez Pastor
- Max Planck Inst for Sci Light
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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
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Rohit Supekar
- MIT
Authors
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Rohit Supekar
- MIT
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Boya Song
- MIT
- Massachusetts Institute of Technology MIT
- Department of Mathematics, Massachusetts Institute of Technology
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Alasdair Hastewell
- Mathematics, Massachusetts Institute of Technology
- MIT
- Massachusetts Institute of Technology MIT
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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
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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
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Machine learning active-nematic hydrodynamics
ORAL
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Presenters
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Jonathan Colen
- University of Chicago
Authors
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Jonathan Colen
- University of Chicago
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Ming Han
- University of Chicago
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Rui Zhang
- University of Chicago
- The Hong Kong University of Science and Technology
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Steven Redford
- University of Chicago
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Linnea M Lemma
- Physics, University of California, Santa Barbara
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Link Morgan
- Physics, University of California, Santa Barbara
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Paul Ruijgrok
- Stanford University
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Raymond Adkins
- Physics, University of California, Santa Barbara
- University of California, Santa Barbara
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Zev Bryant
- Stanford University
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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
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Margaret Gardel
- University of Chicago
- Department of Physics, University of Chicago
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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
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Vincenzo Vitelli
- University of Chicago
- Department of Physics, University of Chicago
- The University of Chicago
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Tracking Islands on Smectic Bubbles using Machine Learning
ORAL
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Presenters
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Ravin Chowhury
- Physics and Soft Materials Research Center, University of Colorado Boulder
Authors
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Ravin Chowhury
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Eric Hedlund
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Adam AS Green
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Cheol Park
- Physics and Soft Materials Research Center, University of Colorado Boulder
- Physics, University of Colorado, Boulder
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Joseph MacLennan
- Physics and Soft Materials Research Center, University of Colorado Boulder
- University of Colorado, Boulder
- Physics, University of Colorado, Boulder
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Noel Anthony Clark
- Physics and Soft Materials Research Center, University of Colorado Boulder
- Physics, University of Colorado, Boulder
- University of Colorado, Boulder
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Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning
ORAL
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Presenters
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Petr Yatsyshin
- The Alan Turing Institute
Authors
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Petr Yatsyshin
- The Alan Turing Institute
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Serafim Kalliadasis
- Imperial College London
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Andrew B Duncan
- The Alan Turing Institute
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Extracting Dynamical laws in Dusty Plasmas using Machine Learning
ORAL
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Presenters
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Wentao Yu
- Emory University
Authors
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Wentao Yu
- Emory University
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Guram Gogia
- Emory University
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Justin Burton
- Emory University
- Physics, Emory University
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Learning the Constitutive Relation of Polymeric Flows with Memory
ORAL
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Presenters
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John Molina
- Department of Chemical Engineering, Kyoto University
Authors
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Naoki Seryo
- Department of Chemical Engineering, Kyoto University
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Takeshi Sato
- Institute for Chemical Research, Kyoto University
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John Molina
- Department of Chemical Engineering, Kyoto University
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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
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Defect Annihilation in Liquid Crystal Physics: Using Deep Learning to Probe the Dynamics of Defects
ORAL
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Presenters
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Adam AS Green
- Physics and Soft Materials Research Center, University of Colorado Boulder
Authors
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Adam AS Green
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Ravin Chowdhury
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Eric Minor
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Stian Howard
- Physics and Soft Materials Research Center, University of Colorado Boulder
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Cheol Park
- Physics and Soft Materials Research Center, University of Colorado Boulder
- Physics, University of Colorado, Boulder
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Noel Anthony Clark
- Physics and Soft Materials Research Center, University of Colorado Boulder
- Physics, University of Colorado, Boulder
- University of Colorado, Boulder
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Machine Learning approach to the discrimination of phospholipid gel and fluid states in lipid bilayers.
ORAL
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Presenters
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Fabrice Thalmann
- Institut Charles Sadron, CNRS and University of Strasbourg
- Institut Charles Sadron, Strasbourg, France
Authors
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Vivien Walter
- Department of Chemistry, Kings College London
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Céline Ruscher
- Institut Charles Sadron, University of Strasbourg
- Institut Charles Sadron, CNRS and University of Strasbourg
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Carlos Marques
- Institut Charles Sadron, CNRS and University of Strasbourg
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Olivier Benzerara
- Institut Charles Sadron, CNRS and University of Strasbourg
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Fabrice Thalmann
- Institut Charles Sadron, CNRS and University of Strasbourg
- Institut Charles Sadron, Strasbourg, France
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