Turbulence: Modeling II
ORAL · J43 · ID: 1761873
Presentations
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Multilevel Lagrangian model for passive scalar gradients in turbulence at high Reynolds and Schmidt numbers
ORAL
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Presenters
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Soumak Bhattacharjee
Duke University
Authors
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Soumak Bhattacharjee
Duke University
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Andrew D Bragg
Duke University
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Predicting scalar gradient dynamics in turbulent mixing using deep neural networks
ORAL
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Presenters
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Dhawal Buaria
New York University, New York University (NYU)
Authors
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Dhawal Buaria
New York University, New York University (NYU)
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Katepalli R Sreenivasan
New York University (NYU), New York University
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Assessment of RANS models for Rayleigh-Taylor mixing using the Macroscopic Forcing Method
ORAL
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Presenters
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Dana Lynn Lavacot
Stanford University
Authors
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Dana Lynn Lavacot
Stanford University
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Jessie Liu
Stanford University
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Brandon E Morgan
Lawrence Livermore National Lab
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Ali Mani
Stanford University, Standard University, Department of Mechanical Engineering, Stanford University
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A Robust Turbulent Combustion Closure model via Deep Operator Network
ORAL
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Presenters
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Arsalan Taassob
North Carolina State University
Authors
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Arsalan Taassob
North Carolina State University
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Anuj Kumar
North Carolina State University
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Tarek Echekki
North Carolina State University
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Rishikesh Ranade
Ansys
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Compressed representations and reduced order modeling of the turbulent flow response to roughness
ORAL
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Presenters
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Miles J Chan
Caltech, California Institute of Technology
Authors
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Miles J Chan
Caltech, California Institute of Technology
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Ugo Piomelli
Queen's University
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Beverley J McKeon
Stanford University
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Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement for Turbulent Flow Reconstruction.
ORAL
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Publication: This work has been accepted by the Journal "Transactions on Intelligent Systems and Technology (TIST)".
Presenters
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Shengyu Chen
University of Pittsburgh
Authors
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Shengyu Chen
University of Pittsburgh
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Peyman Givi
University of Pittsburgh
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Can Zheng
University of Pittsburgh
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Xiaowei Jia
University of Pittsburgh
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Towards a physical interpretation of machine-learned turbulence models
ORAL
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Presenters
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Jiaqi Li
Penn State
Authors
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Jiaqi Li
Penn State
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Yuanwei Bin
Pennsylvania State University & Peking University, Pennsylvania State University
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George P Huang
Wright State University
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Xiang Yang
Pennsylvania State University, The Penn State Department of Mechanical Engineering, Penn State Department of Mechanical Engineering
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Wavelet-based predictions of bursting events in 2D Kolmogorov flow
ORAL
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Presenters
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Anagha Madhusudanan
Indian Institute of Science
Authors
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Anagha Madhusudanan
Indian Institute of Science
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Rich R Kerswell
Univ of Cambridge, DAMTP, University of Cambridge
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Symmetries Based Invariant Modeling for Second Moment Turbulence Modeling
ORAL
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Presenters
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Felician C Putz
TU Darmstadt
Authors
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Felician C Putz
TU Darmstadt
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Nils Benedikt
TU Berlin
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Dario S Klingenberg
Technische Universitat Darmstadt
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Martin Oberlack
TU Darmstadt
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