Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods III
ORAL · L15 · ID: 2665289
Presentations
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Unveiling the Physics Behind Deep Learning Models: A Path Towards Interpretable AI
ORAL
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Presenters
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Ruo-Qian Wang
Rutgers University - New Brunswick, Rutgers, the State University of New Jersey
Authors
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Ruo-Qian Wang
Rutgers University - New Brunswick, Rutgers, the State University of New Jersey
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Design of computer experiments for modeling hypersonic transition using deep operator networks
ORAL
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Presenters
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Yue Hao
Johns Hopkins University
Authors
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Yue Hao
Johns Hopkins University
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Charles Meneveau
Johns Hopkins University
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Tamer A Zaki
Johns Hopkins University
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Conditional Gaussian Koopman Operator for Modeling Complex Systems and Data Assimilation
ORAL
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Presenters
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Jinlong Wu
University of Wisconsin - Madison
Authors
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Chuanqi Chen
University of Wisconsin - Madison
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Nan Chen
University of Wisconsin - Madison
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Jinlong Wu
University of Wisconsin - Madison
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Enhancing Physics-Informed Neural Networks with Constrained Optimization: A Novel Adaptive Augmented Lagrangian Method for Solving Complex PDEs
ORAL
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Presenters
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Qifeng Hu
University of Pittsburgh
Authors
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Qifeng Hu
University of Pittsburgh
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Shamsulhaq Basir
University of Pittsburgh
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Inanc Senocak
University of Pittsburgh
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Intrinsic phase-based proper orthogonal decomposition (IPhaB POD) for near-periodic flows: details and applications
ORAL
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Presenters
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Zoey Flynn
University of Illinois at Urbana-Champaign
Authors
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Zoey Flynn
University of Illinois at Urbana-Champaign
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Akhileshwar Borra
University of Illinois at Urbana-Champaign
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Andres Goza
University of Illinois at Urbana-Champaign
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Theresa A Saxton-Fox
University of Illinois at Urbana-Champaign, The Univerity of Illinois Urbana-Champaign
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Identification of Cross-Frequency Interactions in a Laminar Cavity Flow using Harmonic Resolvent Analysis
ORAL
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Presenters
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Md Rashidul Islam
Syracuse University
Authors
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Md Rashidul Islam
Syracuse University
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Yiyang Sun
Syracuse University
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Modal analysis with Lagrangian coherent structures
ORAL
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Presenters
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Morgan Jones
University of Southern California
Authors
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Morgan Jones
University of Southern California
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Charles Klewicki
University of Southern California
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Oliver Khan
University of Southern California
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Steven L Brunton
University of Washington
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Mitul Luhar
University of Southern California
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Parameterized reduced-order-modeling based on matrix manifolds
ORAL
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Presenters
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Shintaro Sato
Tohoku University, Japan
Authors
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Shintaro Sato
Tohoku University, Japan
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Oliver T Schmidt
University of California San Diego, University of California, San Diego
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A deep neural network-based multi-fidelity framework for wind loading predictions on low-rise buildings in urban areas.
ORAL
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Presenters
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Themistoklis Vargiemezis
Stanford University
Authors
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Themistoklis Vargiemezis
Stanford University
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Catherine Gorle
Stanford University
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An equivariant autoencoder for turbulent flows
ORAL
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Presenters
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Matthew Golden
Georgia Institute of Technology
Authors
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Matthew Golden
Georgia Institute of Technology
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Dimitrios Psaltis
Georgia Institute of Technology
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Roman O Grigoriev
Georgia Institute of Technology
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Low-order nonlinear aerodynamics models from data with boundedness guarantees
ORAL
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Publication: Shih-Chi Liao, A. Leonid Heide, Maziar S. Hemati, Peter J. Seiler, "A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems", preprint, arXiv:2401.04787
Presenters
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A. Leonid Heide
University of Minnesota
Authors
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A. Leonid Heide
University of Minnesota
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Shih-Chi Liao
University of Michigan
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Sergio B Castiblanco-Ballesteros
San Diego State University
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Gustaaf B Jacobs
San Diego State University
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Peter Seiler
University of Michigan
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Maziar S Hemati
University of Minnesota
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On the role of modal phase interference in the formation of asymmetric wakes over a finite-span wing
ORAL
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Presenters
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Maryam Safari
North Carolina State University
Authors
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Maryam Safari
North Carolina State University
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Chi-An Yeh
North Carolina State University
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