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5 papers
Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence
Wenhui Peng, Zelong Yuan, Zhijie Li +1
Modeling three-dimensional (3D) turbulence by neural networks is difficult because 3D turbulence is highly-nonlinear with high degrees of freedom and the corresponding simulation i…
Artificial neural network approach for turbulence models: A local framework
Chenyue Xie, Xiangming Xiong, Jianchun Wang
A local artificial neural network (LANN) framework is developed for turbulence modeling. The Reynolds-averaged Navier-Stokes (RANS) unclosed terms are reconstructed by artificial n…
Deconvolutional artificial neural network models for large eddy simulation of turbulence
Zelong Yuan, Chenyue Xie, Jianchun Wang
Deconvolutional artificial neural network (DANN) models are developed for subgrid-scale (SGS) stress in large eddy simulation (LES) of turbulence. The filtered velocities at differ…
Dual channels of helicity cascade in turbulent flows
Zheng Yan, Xinliang Li, Changping Yu +1
Helicity, as one of only two inviscid invariants in three-dimensional turbulence, plays an important role in the generation and evolution of turbulence. From the traditional viewpo…
Model Reduction with Memory and the Machine Learning of Dynamical Systems
Chao Ma, Jianchun Wang, Weinan E
The well-known Mori-Zwanzig theory tells us that model reduction leads to memory effect. For a long time, modeling the memory effect accurately and efficiently has been an importan…