Predicting Nonlinear and Complex Systems with Machine Learning

Presentations

• Learning dynamics of complex systems from partial observations

  ORAL

  March 6, 2023, 8:00 AM – March 6, 2023, 8:12 AM

  Presenters

  • George Stepaniants

    • Massachusetts Institute of Technology MIT

  Authors

  • George Stepaniants

    • Massachusetts Institute of Technology MIT

  • Alasdair Hastewell

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

  • Dominic J Skinner

    • Northwestern University
    • Massachusetts Institute of Technology MIT

  • Jan F Totz

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

  • Jorn Dunkel

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

  View abstract →

• Maximizing dynamical systems information embedded in experimental observables of molecules through statistical learning enabled Takens reconstruction

  ORAL

  March 6, 2023, 8:12 AM – March 6, 2023, 8:24 AM

  Publication: Learned reconstruction of protein folding trajectories from noisy single-molecule time series, submitted manuscript to JCTC

  Presenters

  • Maximilian T Topel

    • University of Chicago

  Authors

  • Maximilian T Topel

    • University of Chicago

  • Andrew L Ferguson

    • University of Chicago

  View abstract →

• Fractional neural networks for constitutive modeling of complex fluids

  ORAL

  March 6, 2023, 8:24 AM – March 6, 2023, 8:36 AM

  Presenters

  • Donya Dabiri

    • Northeastern University

  Authors

  • Donya Dabiri

    • Northeastern University

  • Milad Saadat

    • Northeastern University

  • Deepak Mangal

    • Northeastern University

  • Safa Jamali

    • Northeastern University

  View abstract →

• Inferring force law in many-particle systems using physics-tailored machine learning

  ORAL

  March 6, 2023, 8:36 AM – March 6, 2023, 8:48 AM

  Presenters

  • Wentao Yu

    • Emory University

  Authors

  • Wentao Yu

    • Emory University

  • Justin C Burton

    • Emory University

  • Ilya M Nemenman

    • Emory
    • Emory University

  • Eslam Abdelaleem

    • Emory University

  View abstract →

• Dynamics of long-term memory in recurrent neural networks

  ORAL

  March 6, 2023, 8:48 AM – March 6, 2023, 9:00 AM

  Publication: Dynamics of long-term memory in recurrent neural networks. Ling-Wei Kong, Junjie Jiang, and Ying-Cheng Lai. (In Preparation)

  Presenters

  • Ling-Wei Kong

    • Arizona State University

  Authors

  • Ling-Wei Kong

    • Arizona State University

  • Junjie Jiang

    • Xi'an Jiaotong University

  • Ying-Cheng Lai

    • Arizona State University

  View abstract →

• Searching for clog formation in hopper flow through comparative machine learning analyses

  ORAL

  March 6, 2023, 9:00 AM – March 6, 2023, 9:12 AM

  Presenters

  • Jesse M Hanlan

    • University of Pennsylvania

  Authors

  • Jesse M Hanlan

    • University of Pennsylvania

  • Sam J Dillavou

    • University of Pennsylvania

  • Douglas J Durian

    • University of Pennsylvania

  View abstract →

• Variational Computation of the Committor for Reactive Events In and Out of Equilibrium

  ORAL

  March 6, 2023, 9:12 AM – March 6, 2023, 9:24 AM

  Presenters

  • Aditya N Singh

    • University of California, Berkeley

  Authors

  • Aditya N Singh

    • University of California, Berkeley

  • David T Limmer

    • University of California, Berkeley

  View abstract →

• Predicting Microfluidic Droplet Diameters Using Machine Learning

  ORAL

  March 6, 2023, 9:24 AM – March 6, 2023, 9:36 AM

  Presenters

  • Serena Holte

    • University of Minnesota Duluth

  Authors

  • Serena Holte

    • University of Minnesota Duluth

  View abstract →

• Machine Learning for Metamaterial Design

  ORAL

  March 6, 2023, 9:36 AM – March 6, 2023, 9:48 AM

  Publication: R. van Mastrigt et al., Phys. Rev. Lett. 2022.

  Presenters

  • Ryan van Mastrigt

    • University of Amsterdam

  Authors

  • Ryan van Mastrigt

    • University of Amsterdam

  • Marjolein Dijkstra

    • Utrecht University

  • Martin van Hecke

    • AMOLF Amsterdam & Leiden University
    • AMOLF

  • Corentin Coulais

    • University of Amsterdam

  View abstract →

• Decomposing Long-Time Behavior of Dynamical Systems through Linear Regression

  ORAL

  March 6, 2023, 9:48 AM – March 6, 2023, 10:00 AM

  Presenters

  • Sam Quinn

    • Georgia Institute of Technology

  Authors

  • Sam Quinn

    • Georgia Institute of Technology

  • Joshua L. Pughe-Sanford

    • Georgia Institute of Technology

  • Roman O Grigoriev

    • Georgia Tech

  View abstract →

• Learning hydrodynamic equations from microscopic Langevin simulations of self-propelled particles dynamics

  ORAL

  March 6, 2023, 10:00 AM – March 6, 2023, 10:12 AM

  Presenters

  • Bappaditya Roy

    • MathAM-OIL

  Authors

  • Bappaditya Roy

    • MathAM-OIL

  • Natsuhiko Yoshinaga

    • Tohoku Univ

  View abstract →

• Unraveling the role of Hydrogen bonds via two machine learning methods

  ORAL

  March 6, 2023, 10:12 AM – March 6, 2023, 10:24 AM

  Presenters

  • Dizhou Wu

    • Wake Forest University

  Authors

  • Freddie R Salsbury

    • Wake Forest University

  • Dizhou Wu

    • Wake Forest University

  View abstract →

• Statistical properties of empirical cross-covariance matrices of correlated large-dimensional datasets

  ORAL

  March 6, 2023, 10:24 AM – March 6, 2023, 10:36 AM

  Publication: N/A

  Presenters

  • Arabind Swain

    • Emory University

  Authors

  • Arabind Swain

    • Emory University

  • Eslam Abdelaleem

    • Emory University

  • Ilya M Nemenman

    • Emory
    • Emory University

  View abstract →

• Automated neuron tracking using deep learning and targeted augmentation allows fast collection of C. elegans whole brain calcium activity during behavior

  ORAL

  March 6, 2023, 10:36 AM – March 6, 2023, 10:48 AM

  Publication: https://www.biorxiv.org/content/10.1101/2022.03.15.484536v1

  Presenters

  • Core Francisco Park

    • Harvard University

  Authors

  • Core Francisco Park

    • Harvard University

  • Sahand Rahi

    • Ecole Polytechnique Federale de Lausanne

  • Aravinthan Samuel

    • Harvard University

  • Mahsa Barzegar Keshteli

    • Ecole Polytechnique Federale de Lausanne

  • Kseniia Korchagina

    • Ecole Polytechnique Federale de Lausanne

  • Ariane Delrocq

    • Ecole Polytechnique Federale de Lausanne

  • Vladislav Susoy

    • Harvard University

  • Corinne Jones

    • Ecole Polytechnique Federale de Lausanne

  View abstract →