Low-Order Modeling: Applications
ORAL · L28 · ID: 1765197
Presentations
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Application of Machine Learning in non-Newtonian Flows
ORAL
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Presenters
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Dibyajyoti Chakraborty
- Penn State Univeristy
Authors
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Dibyajyoti Chakraborty
- Penn State Univeristy
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Shivasubramanian Gopalakrishnan
- Indian Institute of Technology, Bombay
- Indian Institute of Technology Bombay
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Nonlinear parametric models of viscoelastic fluid flows
ORAL
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Presenters
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Cassio M Oishi
- São Paulo State University
Authors
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Cassio M Oishi
- São Paulo State University
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Alan A Kaptanoglu
- New York University
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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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Using Artificial Intelligence for Transient Heat Transfer
ORAL
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Presenters
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Ayush Garg
- Dublin High School
Authors
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Arturo Rodriguez
- University of Texas at El Paso
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Ayush Garg
- Dublin High School
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Rafael Baez Ramirez
- University of Texas at El Paso
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Jose Perez
- University of Texas at El Paso
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Rene D Reza
- University of Texas at El Paso
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Piyush Kumar
- University of Texas at El Paso
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Vinod Kumar
- University of Texas at El Paso
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Estimating thermofluid system parameters using a Markov chain Monte Carlo method, with an example of oscillating heat pipes
ORAL
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Presenters
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Yuxuan Li
- UCLA
Authors
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Yuxuan Li
- UCLA
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Jeff D Eldredge
- University of California, Los Angeles
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Adrienne S Lavine
- UCLA
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Timothy S Fisher
- UCLA
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Bruce L Drolen
- Consultant, ThermAvant
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Data-driven dimensional analysis and modelling of two-phase heat-transfer in small-to-micro tubes
ORAL
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Presenters
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Tullio Traverso
- The Alan Turing Institute, Imperial College London
- Alan Turing Institute, Imperial College London
Authors
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Tullio Traverso
- The Alan Turing Institute, Imperial College London
- Alan Turing Institute, Imperial College London
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Francesco Coletti
- Brunel University London, Hexxcell Ltd.
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Luca Magri
- Imperial College London, Alan Turing Institute
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Tassos Karayiannis
- Brunel University London
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Omar K Matar
- Imperial College London
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Data-Driven Modeling for Optical Wave Reconstruction in Supersonic and Hypersonic Flows
ORAL
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Presenters
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Andrew M Hess
- United States Naval Research Laboratory
Authors
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Andrew M Hess
- United States Naval Research Laboratory
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Trushant K Patel
- Naval Research Laboratory
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David A Kessler
- Naval Research Laboratory
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Di Lin
- Naval Research Laboratory
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Abstract Withdrawn
ORAL · Withdrawn
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Reduced Order Atmospheric Pollution Modelling using Machine Learning with Proper Orthogonal Decomposition
ORAL
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Presenters
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Elliot Chevet
- Aix Marseille University, CNRS, Centrale Méditerranée, IRPHE
Authors
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Elliot Chevet
- Aix Marseille University, CNRS, Centrale Méditerranée, IRPHE
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Olivier Boiron
- Aix Marseille University, CNRS, Centrale Méditerranée, IRPHE, Marseille, France
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Fabien Anselmet
- Aix Marseille University, CNRS, Centrale Méditerranée, IRPHE, Marseille, France
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Deep Reinforcement Learning for Autonomous Navigation in Complex Flows
ORAL
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Presenters
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Selim Mecanna
- École Centrale Marseille (IRPHE)
Authors
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Selim Mecanna
- École Centrale Marseille (IRPHE)
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Aurore Loisy
- École Centrale Marseille (IRPHE)
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Christophe Eloy
- École Centrale Marseille (IRPHE)
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Deep Learning for flow field and drag force predictions in dispersed particle flows
ORAL
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Presenters
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Neil A Raj
- Virginia polytechnic institute and state university
Authors
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Neil A Raj
- Virginia polytechnic institute and state university
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Danesh Tafti
- Virginia Polytechnic Institute and State University
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Nikhil Muralidhar
- Stevens Institute of Technology
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Enhancing Computational Fluid Dynamics Research and Education through AI: The Role of ChatGPT
ORAL
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Presenters
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Yadong Zeng
- Altair Engineering Inc.
Authors
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Yadong Zeng
- Altair Engineering Inc.
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Leixin Ma
- Arizona State Unviersity
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Abstract Withdrawn
ORAL · Withdrawn
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