Low-Order Modeling and Machine Learning in Fluid Dynamics: Flow Control
ORAL · T12 · ID: 2665135
Presentations
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Comparative Analysis of Manifold Learning Techniques for Controlled flows
ORAL
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Presenters
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Alicia Rodríguez-Asensio
Universidad Carlos III De Madrid
Authors
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Alicia Rodríguez-Asensio
Universidad Carlos III De Madrid
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Stefano Discetti
Department of Aerospace Engineering, Universidad Carlos III de Madrid, Avda. Universidad 30, Legan´es, 28911, Madrid, Spain., Universidad Carlos III de Madrid
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Andrea Ianiro
Universidad Carlos III de Madrid, Department of Aerospace Engineering, Universidad Carlos III de Madrid, Avda. Universidad 30, Legan´es, 28911, Madrid, Spain.
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Actuation manifold from snapshot data
ORAL
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Publication: Marra L., Cornejo Maceda G.Y., Meilán-Vila A., Guerrero V., Rashwan S., Noack B. R., Discetti S., Ianiro, A. (2024). Actuation manifold from snapshot data. arXiv preprint arXiv:2403.03653.
Presenters
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Luigi MARRA
Universidad Carlos III de Madrid
Authors
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Luigi MARRA
Universidad Carlos III de Madrid
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Guy Y. Cornejo Maceda
Harbin Institute of Technology, Shenzhen, P.R. China
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Andrea Meilán-Vila
Universidad Carlos III de Madrid
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Vanesa Guerrero
Universidad Carlos III de Madrid
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Salma Rashwan
Universidad Carlos III de Madrid
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Bernd R. Noack
Harbin Institute of Technology, Shenzhen, P.R. China
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Stefano Discetti
Department of Aerospace Engineering, Universidad Carlos III de Madrid, Avda. Universidad 30, Legan´es, 28911, Madrid, Spain., Universidad Carlos III de Madrid
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Andrea Ianiro
Universidad Carlos III de Madrid, Department of Aerospace Engineering, Universidad Carlos III de Madrid, Avda. Universidad 30, Legan´es, 28911, Madrid, Spain.
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Uncertainty quantification in low-order machine learning models of unsteady aerodynamics
ORAL
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Presenters
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Hanieh Mousavi
University of California, Los Angeles
Authors
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Hanieh Mousavi
University of California, Los Angeles
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Jeff D Eldredge
University of California, Los Angeles
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Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
ORAL
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Presenters
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Luning Sun
Lawrence Livermore National Laboratory
Authors
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Luning Sun
Lawrence Livermore National Laboratory
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Xinyang Liu
University of Notre Dame
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Jian-Xun Wang
University of Notre Dame
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Siyan Zhao
UCLA
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Aditya Grover
UCLA
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Jayaraman Thiagarajan
Lawrence Livermore National Laboratory
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Efficient control of chaotic turbulent flow with reinforcement learning
ORAL
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Presenters
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Sajeda Mokbel
University of Washington
Authors
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Sajeda Mokbel
University of Washington
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Christian Lagemann
AI Institute in Dynamic Systems, University of Washington, University of Washington
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Esther Lagemann
AI Institute in Dynamic Systems, University of Washington
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Steven L Brunton
University of Washington
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Optimal Riblet Spacing for Turbulent Flows Determined by Rank-1 Structured Input/Output Analysis
ORAL
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Presenters
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Emma K Dufresne
University of Minnesota
Authors
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Emma K Dufresne
University of Minnesota
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Diganta Bhattacharjee
University of Minnesota
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Mitul Luhar
University of Southern California
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Maziar S Hemati
University of Minnesota
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Autonomous control of droplet generator for single and double droplets using Bayesian optimization
ORAL
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Presenters
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Seongsu Cho
School of Mechanical Engineering, Sungkyunkwan University
Authors
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Seongsu Cho
School of Mechanical Engineering, Sungkyunkwan University
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Haengyeong Kim
School of Mechanical Engineering, Sungkyunkwan University
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Seonghun Shin
School of Mechanical Engineering, Sungkyunkwan University
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Minki Lee
Department of Mechanical Engineering, Chosun University
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Jinkee Lee
School of Mechanical Engineering, Sungkyunkwan University, Sungkyunkwan University
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Dynamic control and optimisationof plug-flow performanceusing machine learning
ORAL
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Presenters
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Fuyue Liang
Imperial College London
Authors
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Mosayeb Shams
Imperial College London
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Fuyue Liang
Imperial College London
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Nausheen Sultana Mehboob Basha
Imperial College London
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Antonio Del Rio Chanona
Imperial College London
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Omar K. Matar
Imperial College London
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Flow control with latent dynamics model-based reinforcement learning
ORAL
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Presenters
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Zhecheng Liu
University of California, Los Angeles
Authors
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Zhecheng Liu
University of California, Los Angeles
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Jeff D Eldredge
University of California, Los Angeles
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