Tuesday, November 26, 2024
8:00AM - 8:13AM
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X15.00001: Epistemic Uncertainty Quantification of Deep Neural-Network Based Turbulence Closures
Cody Grogan, Som Dutta, Mauricio Tano, Som Dhulipala, Izabela Gutowska
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Tuesday, November 26, 2024
8:13AM - 8:26AM
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X15.00002: Improving Predicted Statistics of Velocity Gradient Closures using Parameterized Lagrangian Deformation Models
Criston M Hyett, Michael Woodward, Yifeng Tian, Mikhail Stepanov, Chris L Fryer, Daniel Livescu, Michael Chertkov
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Tuesday, November 26, 2024
8:26AM - 8:39AM
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X15.00003: Neural Network-Based Closure Model of the Ensemble-Averaging Dynamics of Turbulent Puffs in Transitional Pipe Flow
Yu Shuai, Clarence W Rowley
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Tuesday, November 26, 2024
8:39AM - 8:52AM
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X15.00004: RANN: A Neural RANS Closure Model for Physics-Informed Machine Learning on General Geometries
Matthew Uffenheimer, Luca Rigazio, Eckart Heinz Meiburg
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Tuesday, November 26, 2024
8:52AM - 9:05AM
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X15.00005: Subgrid Stress Modeling with Data Driven Structured State Space Sequence Models
Andy Wu, Sanjiva K Lele
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Tuesday, November 26, 2024
9:05AM - 9:18AM
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X15.00006: The multiscale-based data-driven subgrid-scale model with physics constraints for enhanced prediction of unresolved scales in turbulent flow
Bahrul Jalaali, Kie Okabayashi
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Tuesday, November 26, 2024
9:18AM - 9:31AM
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X15.00007: A dynamic recursive neural-network-based subgrid-scale model for large eddy simulation
Chonghyuk Cho, Haecheon Choi
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Tuesday, November 26, 2024
9:31AM - 9:44AM
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X15.00008: SGS backscatter effects in coarse-grid LES predicted by a machine-learning-based SGS model
Soju Maejima, Soshi Kawai
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Tuesday, November 26, 2024
9:44AM - 9:57AM
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X15.00009: Toward machine-learning-based large eddy simulation of flow over a complex geometry
MYUNGHWA KIM, Haecheon Choi
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Tuesday, November 26, 2024
9:57AM - 10:10AM
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X15.00010: Abstract Withdrawn
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