Nonlinear Dynamics: Model Reduction III
ORAL · P10 ·
Presentations
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Time-frequency analysis of intermittent coherent structures in turbulent flows
ORAL
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Authors
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Aaron Towne
- University of Michigan
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Peijing Liu
- University of Michigan
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A modal decomposition for discovery of nonlinear triadic interactions from flow data
ORAL
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Authors
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Oliver Schmidt
- University of California San Diego
- University of California - San Diego
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Real-Time Reduced Order Modeling Of Deterministic and Stochastic Systems Using Time-Dependent Low-Rank Basis
ORAL
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Authors
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Hessam Babaee
- University of Pittsburgh
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Michael Donello
- University of Pittsburgh
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Data-driven modeling of chaotic flows with non-Gaussian statistics
ORAL
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Authors
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Hassan Arbabi
- Massachusetts Institute of Technology
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Themistoklis Sapsis
- Massachusetts Institute of Technology
- MIT
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Reduced order flow control using input-output hidden Markov model
ORAL
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Authors
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Palash Sashittal
- University Of Illinois at Urbana-Champaign
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Daniel Bodony
- University Of Illinois at Urbana-Champaign
- University of Illinois Urbana Champaign
- Aerospace Department, University of Illinois at Urbana-Champaign
- University of Illinois at Urbana-Champaign
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Autoencoders for discovering coordinates and dynamics from data
ORAL
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Authors
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Kathleen Champion
- University of Washington
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Bethany Lusch
- Argonne National Laboratory
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J. Nathan Kutz
- University of Washington
- University of Washington, department of Applied Mathematics
- Department of Applied Mathematics, University of Washington, Seattle, WA
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Steven Brunton
- University of Washington
- University of Washington, Seattle
- University of Washington, department of Mechanical Engineering
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Identifying coarse-grained PDE models from data with the sparse identification of nonlinear dynamics
ORAL
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Authors
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Kadierdan Kaheman
- University of Washington
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Eurika Kaiser
- University of Washington, Seattle
- University of Washington
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Aditya Nair
- University of Washington
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J. Nathan Kutz
- University of Washington
- University of Washington, department of Applied Mathematics
- Department of Applied Mathematics, University of Washington, Seattle, WA
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Steven Brunton
- University of Washington
- University of Washington, Seattle
- University of Washington, department of Mechanical Engineering
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A study of state-of-the-art model reduction techniques applied to flow simulations with moving immersed boundaries
ORAL
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Authors
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Serena Costanzo
- Sorbonne Universit\'e
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Taraneh Sayadi
- Sorbonne University
- Sorbonne Universit\'e
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Pascal Frey
- Sorbonne Universit\' e
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Learning interpretable stochastic models with sparse regression
ORAL
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Authors
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Jared Callaham
- University of Washington
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Jean-Christophe Loiseau
- Arts et Metiers ParisTech
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J. Nathan Kutz
- University of Washington
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Steven Brunton
- University of Washington
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