Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods III
ORAL · J26 · ID: 3583491
Presentations
-
A priori Assessment of Tensor Networks Encoding for Reduced Order Modeling of Isotropic Turbulence
ORAL
–
Presenters
-
Massen Esmaeili
University of Pittsburgh
Authors
-
Massen Esmaeili
University of Pittsburgh
-
Hirad Alipanah
University of Pittsburgh
-
Robert Pinkston
University of Pittsburgh
-
Peyman Givi
University of Pittsburgh
-
Daniel Livescu
Los Alamos National Laboratory (LANL)
-
Dieter Jaksch
University of Hamburg
-
Juan José Mendoza Arenas
University of Pittsburgh
-
-
A Machine Learning Augmented RANS Approach for Rapid and Accurate Simulations of Periodic Unsteady Flows
ORAL
–
Presenters
-
Lean Fang
Iowa State University
Authors
-
Lean Fang
Iowa State University
-
Ping He
Iowa State University
-
-
Transition prediction in high-speed boundary layers using Bayesian neural operators
ORAL
–
Presenters
-
Yue Hao
Johns Hopkins University
Authors
-
Yue Hao
Johns Hopkins University
-
Charles Meneveau
Johns Hopkins University
-
Tamer A Zaki
Johns Hopkins University
-
-
Low-Dimensional Latent Space Representation of the Parametric Dependence of Transient Instability Growth
ORAL
–
Presenters
-
Balu Nadiga
Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)
Authors
-
Daniel Messenger
LANL
-
Balu Nadiga
Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)
-
Marc Klasky
LANL, Los Alamos National Laboratory
-
-
Chemical Kinetics Reduction Using a Self-Evolving Neural Network Framework
ORAL
–
Presenters
-
Sheharyar Nasir
University of Kansas
Authors
-
Sheharyar Nasir
University of Kansas
-
Cheng Huang
University of Kansas
-
-
Invertible Neural Autoencoder for Low-Order Modeling of Homogeneous Flow Structures
ORAL
–
Publication: https://arxiv.org/abs/2505.15329
Presenters
-
Anqiao Ouyang
Mount Boucherie Secondary School
Authors
-
Anqiao Ouyang
Mount Boucherie Secondary School
-
Hongyi Ke
San Diego State University
-
Qi Wang
San Diego State University
-