Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods V
ORAL · T15 · ID: 2665333
Presentations
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Deterministic local reduced-order modelling for chaotic flows with cluster-based quantization
ORAL
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Presenters
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Antonio Colanera
Politecnico di Torino
Authors
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Antonio Colanera
Politecnico di Torino
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Luca Magri
Imperial College London, The Alan Turing Institute, PoliTo, Imperial College London, Alan Turing Institute, Politecnico di Torino, Imperial College London, Alan Turing Institute
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Intrinsic Instabilities and Generalization Challenges in Neural Partial Differential Equations
ORAL
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Presenters
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Arvind T Mohan
Los Alamos National Laboratory (LANL)
Authors
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Arvind T Mohan
Los Alamos National Laboratory (LANL)
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Ashesh K Chattopadhyay
University of California, Santa Cruz
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Jonah M Miller
Los Alamos National Laboratory
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Submerged Reduced-Order Models for Incompressible Flow around Obstacles
ORAL
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Publication: We plan to submit a manuscript derived from this work to publish in Computer Methods in Applied Mechanics and Engineering, but are still in the process of preparing the manuscript
Presenters
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Jacob W Murri
University of California, Los Angeles
Authors
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Jacob W Murri
University of California, Los Angeles
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Clifford E Watkins
Special Technologies Laboratory (STL), Nevada National Security Sites
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James Watts
Colorado School of Mines
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Sean R Breckling
Nevada National Security Site (NNSS)
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Data-driven artificial viscosity closures for projection-based reduced order modeling of incompressible fluid flows
ORAL
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Publication: Aviral Prakash and Yongjie Jessica Zhang, Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows, Computer Methods in Applied Mechanics and Engineering, Volume 425, 2024
Presenters
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Aviral Prakash
Carnegie Mellon University
Authors
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Aviral Prakash
Carnegie Mellon University
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Yongjie J Zhang
Carnegie Mellon University
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Flexi-Propagator For Partial Differential Equations
ORAL
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Presenters
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Khalid Rafiq
University of Nevada, Reno
Authors
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Khalid Rafiq
University of Nevada, Reno
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Wenjing Liao
Georgia Institute of Technology, Atlanta
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Aditya G Nair
University of Nevada, Reno
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Bundle embeddings for learning chaotic dynamics from irregularly sampled partial observable data
ORAL
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Presenters
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Charles Douglas Young
Los Alamos National Laboratory (LANL)
Authors
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Charles Douglas Young
Los Alamos National Laboratory (LANL)
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Objective Determination of Optimal POD Modes for Large-Scale Motion Reconstruction in Turbulent Flows
ORAL
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Presenters
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Nathan Ziems
University of Indianapolis
Authors
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Nathan Ziems
University of Indianapolis
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Venkatesh Pulletikurthi
Purdue University, Friedrich-Alexander-Universität Erlangen-Nürnberg
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Suranga I Dharmarathne
University of Indianapolis
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Continuous latent flow modeling for model-based reinforcement learning using temporal transformer networks
ORAL
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Presenters
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Christian Lagemann
AI Institute in Dynamic Systems, University of Washington, University of Washington
Authors
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Christian Lagemann
AI Institute in Dynamic Systems, University of Washington, University of Washington
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Kai Lagemann
Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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Steven L Brunton
University of Washington
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