Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods VIII
ORAL · Z10 · ID: 3583332
Presentations
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Geometry-Conditioned Graph Neural Networks for Spray Prediction
ORAL
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Presenters
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Nausheen Basha
- Imperial College London
Authors
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Nausheen Basha
- Imperial College London
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Friedrich Hastedt
- Imperial College London
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Dongda Zhang
- University of Manchester
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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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Neural-network-based large eddy simulation of flow over a backward facing step
ORAL
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Presenters
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Jonghwan Park
- Seoul National University
Authors
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Jonghwan Park
- Seoul National University
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Haecheon Choi
- Seoul National University
- Seoul Natl Univ
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Fourier-Embedded Deep Operator Networks for High-Fidelity Parametric PDE Surrogates and Inverse Optimization
ORAL
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Presenters
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Arth Sojitra
- University of Tennessee, Knoxville
Authors
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Arth Sojitra
- University of Tennessee, Knoxville
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Mrigank Dhingra
- University of Tennessee Knoxville
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Omer San
- University of Tennessee
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Exploring Continuous Data Assimilation Algorithms for Reconstructing Flow from Temperature Measurements
ORAL
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Publication: Planned paper with the same or a similar title will be forthcoming
Presenters
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Jacob William Murri
- University of California, Los Angeles
Authors
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Jacob William Murri
- University of California, Los Angeles
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Sean R Breckling
- Nevada National Security Site (NNSS)
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Clifford Evan Watkins
- Nevada National Security Sites
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Matthew Koziol
- University of California, Los Angeles
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Hayden Schaeffer
- University of California, Los Angeles
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A Systematic Comparison of State-of-the-Art Deep Learning Models for Particle Image Velocimetry
ORAL
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Publication: This work is part of ongoing research, and at least one manuscript is planned for submission to a peer-reviewed journal within the next few months.
Presenters
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Ben Yu
- University of Wisconsin - Milwaukee
Authors
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Ben Yu
- University of Wisconsin - Milwaukee
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Qian Liao
- University of Wisconsin - Milwaukee
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Flow Inference and Turbulence Closure of Flow Past a Cylinder using PINNs and Data-Driven RANS Equations
ORAL
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Presenters
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Zhen Zhang
- Brown University
- Division of Applied Mathematics, Brown University
Authors
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Zhen Zhang
- Brown University
- Division of Applied Mathematics, Brown University
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Siavash Khodakarami
- Division of Applied Mathematics, Brown University
- Brown University
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Khemraj Shukla
- Division of Applied Mathematics, Brown University
- Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA
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Zhicheng Wang
- Division of Applied Mathematics, Brown University
- Brown University
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Kareem Ahmad
- University of Central Florida
- Department of Mechanical and Aerospace Engineering, University of Central Florida
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Anthony Morales
- Department of Mechanical and Aerospace Engineering, University of Central Florida
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Sheikh Salauddin
- Department of Mechanical and Aerospace Engineering, University of Central Florida
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David Barrett
- Department of Mechanical Engineering, Massachusetts Institute of Technology
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Theo Kaeufer
- Department of Mechanical Engineering, Massachusetts Institute of Technology
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Michael Triantafyllou
- Massachusetts Institute of Technology
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George Em Karniadakis
- Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, 02912, USA
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Abstract Withdrawn
ORAL · Withdrawn
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Gradient-Enhanced Reinforcement Learning for Turbulence Control
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
- 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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