NLD Model Reduction and Transition II
ORAL · J31 · ID: 1763209
Presentations
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Harnessing time-stepping for cost-effective harmonic resolvent analysis
ORAL
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Presenters
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Ali Farghadan
University of Michigan
Authors
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Ali Farghadan
University of Michigan
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Aaron S Towne
University of Michigan
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Estimating turbulent statistics from pairwise data
ORAL
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Presenters
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Caroline Cardinale
California Institute of Technology
Authors
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Caroline Cardinale
California Institute of Technology
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Steven L Brunton
University of Washington, Department of Mechanical Engineering, University of Washington
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Tim Colonius
Caltech, California Institute of Technology
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Rank-Adaptive Reduced-Order Modeling of 2D Incompressible Linearized Navier stokes equations with Time-Dependent Bases
ORAL
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Presenters
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Alireza Amiri Margavi
University of Pittsburgh
Authors
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Alireza Amiri Margavi
University of Pittsburgh
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Hessam Babaee
University of Pittsburgh, Mechanical and Materials Science, University of Pittsburgh
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Capturing the Edge of Chaos in a Reduced-order Model of Pipe Flow
ORAL
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Publication: B. Kaszás, G. Haller, Capturing the edge of chaos as a spectral submanifold in pipe flows, (2023), submitted
Presenters
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Balint Kaszas
ETH Zurich
Authors
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Balint Kaszas
ETH Zurich
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George Haller
ETH Zurich
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On the role of the projection fiber for modeling transient nonlinear dynamics
ORAL
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Presenters
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Samuel E Otto
University of Washington
Authors
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Samuel E Otto
University of Washington
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Nathan Kutz
University of Washington, University of Washington, AI Institute for Dynamic Systems
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Steven L Brunton
University of Washington, Department of Mechanical Engineering, University of Washington
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Predicting spatiotemporal chaos by learning conjugate tubular neighborhoods
ORAL
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Presenters
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Nazmi Burak Budanur
Max Planck Institute for the Physics of Complex Systems
Authors
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Nazmi Burak Budanur
Max Planck Institute for the Physics of Complex Systems
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Synchronization of three-dimensional cylinder wake to forced oscillation
ORAL
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Presenters
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Youngjae Kim
University of California, Los Angeles
Authors
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Youngjae Kim
University of California, Los Angeles
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Vedasri Godavarthi
University of California, Los Angeles
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Victoria Rolandi
University of California Los Angeles, University of California, Los Angeles
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Kunihiko Taira
UCLA, University of California, Los Angeles
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Bayesian Regularization for System Identification, Uncertainty Quantification and Model Selection
ORAL
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Publication: Planned submission to Chaos in the near future
Presenters
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Robert K Niven
University of New South Wales
Authors
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Robert K Niven
University of New South Wales
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Laurent Cordier
Univ de Poitiers
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Markus Abel
Ambrosys GmbH, Potsdam, Germany
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Markus Quade
Ambrosys GmbH, Potsdam, Germany
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Ali Mohammad-Djafari
CentraleSupelec, Gif-sur-Yvette, France.
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