Machine Learning in Nonlinear Physics and Mechanics I

Presentations

• Calculating the entropy of physical systems with Machine Learning

  Invited

  March 19, 2021, 9:00 AM – March 19, 2021, 9:36 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, 9:36 AM – March 19, 2021, 9:48 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, 9:48 AM – March 19, 2021, 10:00 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, 10:00 AM – March 19, 2021, 10:12 AM

  Presenters

  • Jesse Hanlan

    University of Pennsylvania

  Authors

  • Jesse Hanlan

    University of Pennsylvania

  • Douglas J Durian

    University of Pennsylvania

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

  ORAL

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

  Presenters

  • Dihui Ruan

    Johns Hopkins University

  Authors

  • Dihui Ruan

    Johns Hopkins University

  • Sylvain Patinet

    ESPCI

  • Michael Falk

    Johns Hopkins University

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• Predicting nonlinear stochastic and quantum dynamics without PDEs

  ORAL

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

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• Soft Matter Physics for Machine Learning: Dynamical loss functions

  ORAL

  March 19, 2021, 10:36 AM – March 19, 2021, 10:48 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, 10:48 AM – March 19, 2021, 11:00 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, 11:00 AM – March 19, 2021, 11:12 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, 11:12 AM – March 19, 2021, 11:24 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, 11:24 AM – March 19, 2021, 11:36 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 →