Monday, March 6, 2023
8:00AM - 8:12AM
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A01.00001: Learning dynamics of complex systems from partial observations
George Stepaniants, Alasdair Hastewell, Dominic J Skinner, Jan F Totz, Jorn Dunkel
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Monday, March 6, 2023
8:12AM - 8:24AM
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A01.00002: Maximizing dynamical systems information embedded in experimental observables of molecules through statistical learning enabled Takens reconstruction
Maximilian T Topel, Andrew L Ferguson
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Monday, March 6, 2023
8:24AM - 8:36AM
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A01.00003: Fractional neural networks for constitutive modeling of complex fluids
Donya Dabiri, Milad Saadat, Deepak Mangal, Safa Jamali
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Monday, March 6, 2023
8:36AM - 8:48AM
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A01.00004: Inferring force law in many-particle systems using physics-tailored machine learning
Wentao Yu, Justin C Burton, Ilya M Nemenman, Eslam Abdelaleem
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Monday, March 6, 2023
8:48AM - 9:00AM
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A01.00005: Dynamics of long-term memory in recurrent neural networks
Ling-Wei Kong, Junjie Jiang, Ying-Cheng Lai
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Monday, March 6, 2023
9:00AM - 9:12AM
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A01.00006: Searching for clog formation in hopper flow through comparative machine learning analyses
Jesse M Hanlan, Sam J Dillavou, Douglas J Durian
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Monday, March 6, 2023
9:12AM - 9:24AM
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A01.00007: Variational Computation of the Committor for Reactive Events In and Out of Equilibrium
Aditya N Singh, David T Limmer
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Monday, March 6, 2023
9:24AM - 9:36AM
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A01.00008: Predicting Microfluidic Droplet Diameters Using Machine Learning
Serena Holte
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Monday, March 6, 2023
9:36AM - 9:48AM
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A01.00009: Machine Learning for Metamaterial Design
Ryan van Mastrigt, Marjolein Dijkstra, Martin van Hecke, Corentin Coulais
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Monday, March 6, 2023
9:48AM - 10:00AM
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A01.00010: Decomposing Long-Time Behavior of Dynamical Systems through Linear Regression
Sam Quinn, Joshua L. Pughe-Sanford, Roman O Grigoriev
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Monday, March 6, 2023
10:00AM - 10:12AM
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A01.00011: Learning hydrodynamic equations from microscopic Langevin simulations of self-propelled particles dynamics
Bappaditya Roy, Natsuhiko Yoshinaga
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Monday, March 6, 2023
10:12AM - 10:24AM
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A01.00012: Unraveling the role of Hydrogen bonds via two machine learning methods
Freddie R Salsbury, Dizhou Wu
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Monday, March 6, 2023
10:24AM - 10:36AM
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A01.00013: Statistical properties of empirical cross-covariance matrices of correlated large-dimensional datasets
Arabind Swain, Eslam Abdelaleem, Ilya M Nemenman
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Monday, March 6, 2023
10:36AM - 10:48AM
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A01.00014: Automated neuron tracking using deep learning and targeted augmentation allows fast collection of C. elegans whole brain calcium activity during behavior
Core Francisco Park, Sahand Rahi, Aravinthan Samuel, Mahsa Barzegar Keshteli, Kseniia Korchagina, Ariane Delrocq, Vladislav Susoy, Corinne Jones
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