Machine Learning in Nonlinear Physics and Mechanics I

Presentations

• Calculating the entropy of physical systems with Machine Learning

  Invited

  March 19, 2021, 8:00 AM – March 19, 2021, 8:36 AM

  Presenters

  • Yohai Bar-Sinai

    • Department of Condensed Matter Physics, Tel Aviv University
    • Tel Aviv University

  Authors

  • Yohai Bar-Sinai

    • Department of Condensed Matter Physics, Tel Aviv University
    • Tel Aviv University

  View abstract →

• Predicting Erosion Channel First Passage with Machine Learning

  ORAL

  March 19, 2021, 8:36 AM – March 19, 2021, 8:48 AM

  Presenters

  • Isaac Khor

    • Clark University

  Authors

  • Isaac Khor

    • Clark University

  • Li Han

    • Clark University

  • Arshad Kudrolli

    • Clark University
    • Physics department, Clark University

  View abstract →

• Machine Learning Prediction of Avalanche-like Events in Knitted Fabric

  ORAL

  March 19, 2021, 8:48 AM – March 19, 2021, 9:00 AM

  Presenters

  • Adèle Douin

    • CNRS

  Authors

  • Adèle Douin

    • CNRS

  • Frederic Lechenault

    • CNRS

  • Jean-Philippe Bruneton

    • Université de Paris

  View abstract →

• What makes a clog: characterizing 2D granular hopper flows using machine learning methods

  ORAL

  March 19, 2021, 9:00 AM – March 19, 2021, 9:12 AM

  Presenters

  • Jesse Hanlan

    • University of Pennsylvania

  Authors

  • Jesse Hanlan

    • University of Pennsylvania

  • Douglas J Durian

    • University of Pennsylvania

  View abstract →

• Predicting Plasticity in 3D Model Glasses Using the Local Yield Stress Method

  ORAL

  March 19, 2021, 9:12 AM – March 19, 2021, 9:24 AM

  Presenters

  • Dihui Ruan

    • Johns Hopkins University

  Authors

  • Dihui Ruan

    • Johns Hopkins University

  • Sylvain Patinet

    • ESPCI

  • Michael Falk

    • Johns Hopkins University

  View abstract →

• Predicting nonlinear stochastic and quantum dynamics without PDEs

  ORAL

  March 19, 2021, 9:24 AM – March 19, 2021, 9:36 AM

  Presenters

  • Alasdair Hastewell

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

  Authors

  • Alasdair Hastewell

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

  • 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 →

• Soft Matter Physics for Machine Learning: Dynamical loss functions

  ORAL

  March 19, 2021, 9:36 AM – March 19, 2021, 9:48 AM

  Presenters

  • Miguel Ruiz Garcia

    • Technical University of Madrid
    • University of Pennsylvania

  Authors

  • Miguel Ruiz Garcia

    • Technical University of Madrid
    • University of Pennsylvania

  • Ge Zhang

    • University of Pennsylvania

  • Sam Schoenholz

    • Google Brain

  • Andrea Liu

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

  View abstract →

• Large-scale visualization with machine learning of dislocation networks in colloidal single crystals

  ORAL

  March 19, 2021, 9:48 AM – March 19, 2021, 10:00 AM

  Presenters

  • Ilya Svetlizky

    • Harvard University

  Authors

  • Ilya Svetlizky

    • Harvard University

  • Seongsoo Kim

    • Harvard University

  • Seong Ho Pahng

    • Harvard University

  • Agnese Curatolo

    • Harvard University

  • Michael Brenner

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

  • David Weitz

    • Harvard University

  • Frans A Spaepen

    • Harvard University

  View abstract →

• Statistical properties of ridge networks in crumpled sheets

  ORAL

  March 19, 2021, 10:00 AM – March 19, 2021, 10:12 AM

  Presenters

  • Catalin Veghes CVeghes@clarku.edu

    • Clark University

  Authors

  • Catalin Veghes CVeghes@clarku.edu

    • Clark University

  • Li Han

    • Clark University

  • Arshad Kudrolli

    • Clark University
    • Physics department, Clark University

  View abstract →

• Machine Learning of Mechanisms in Combinatorial Metamaterials

  ORAL

  March 19, 2021, 10:12 AM – March 19, 2021, 10:24 AM

  Presenters

  • Ryan van Mastrigt

    • University of Amsterdam

  Authors

  • Ryan van Mastrigt

    • University of Amsterdam

  • Corentin Coulais

    • Institute of Physics, University of Amsterdam
    • University of Amsterdam
    • Univ of Amsterdam
    • IOP, University of Amsterdam

  • Martin Van Hecke

    • AMOLF & Leiden University
    • Leiden University
    • FOM Inst - Amsterdam
    • AMOLF/Leiden University

  • Marjolein Dijkstra

    • Utrecht University

  View abstract →

• Simplifying Physics Informed Neural Networks in case of periodicity to address low quality and sparse data while solving differential equations : an application in fluid dynamics.

  ORAL

  March 19, 2021, 10:24 AM – March 19, 2021, 10:36 AM

  Presenters

  • Gaétan Raynaud

    • Ecole Polytechnique de Montreal

  Authors

  • Gaétan Raynaud

    • Ecole Polytechnique de Montreal

  • Frederick P. Gosselin

    • Ecole Polytechnique de Montreal
    • Polytechnique Montreeal

  • Sébastien Houde

    • Département de génie mécanique, Université Laval

  View abstract →