88 citations · 359 across the 16 of their papers we have counts for
16 papers
Lyapunov exponents and Lagrangian chaos suppression in compressible homogeneous isotropic turbulence
Haijun Yu, Itzhak Fouxon, Jianchun Wang +4
We study Lyapunov exponents of tracers in compressible homogeneous isotropic turbulence at different turbulent Mach number and Taylor-scale Reynolds number . We demonst…
Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Wenhui Peng, Shaoxiang Qin, Senwen Yang +3
Global urbanization has underscored the significance of urban microclimates for human comfort, health, and building/urban energy efficiency. They profoundly influence building desi…
Departure from the statistical equilibrium of large scales in three-dimensional hydrodynamic turbulence
Mengjie Ding, Jin-Han Xie, Jianchun Wang
We study the statistically steady states of the forced dissipative three-dimensional homogeneous isotropic turbulence at scales larger than the forcing scale in real separation spa…
Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator
Zhijie Li, Wenhui Peng, Zelong Yuan +1
Long-term predictions of nonlinear dynamics of three-dimensional (3D) turbulence are very challenging for machine learning approaches. In this paper, we propose an implicit U-Net e…
Wall cooling effect on spectra and structures of thermodynamic variables in hypersonic turbulent boundary layers
Dehao Xu, Jianchun Wang, Shiyi Chen
The wall cooling effect on the spectra and structures of thermodynamic variables are investigated in hypersonic turbulent boundary layers. The density and temperature can be divide…
Ensemble data assimilation-based mixed subgrid-scale model for large-eddy simulations
Yunpeng Wang, Zelong Yuan, Jianchun Wang
An ensemble Kalman filter (EnKF)-based mixed model (EnKF-MM) is proposed for the subgrid-scale (SGS) closure in the large-eddy simulation (LES) of turbulence. The model coefficient…
Adjoint-based variational optimal mixed models for large-eddy simulation of turbulence
Zelong Yuan, Yunpeng Wang, Xiaoning Wang +1
An adjoint-based variational optimal mixed model (VOMM) is proposed for subgrid-scale (SGS) closure in large-eddy simulation (LES) of turbulence. The stabilized adjoint LES equatio…
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…
High-order Gas-kinetic Schemes with Non-compact and Compact Reconstruction for Implicit Large Eddy Simulation
Wenjin Zhao, Guiyu Cao, Jianchun Wang +1
High-order gas-kinetic scheme (HGKS) with 5th-order non-compact reconstruction has been well implemented for implicit large eddy simulation (ILES) in nearly incompressible turbulen…
Temporally sparse data assimilation for the small-scale reconstruction of turbulence
Yunpeng Wang, Zelong Yuan, Chenyue Xie +1
Previous works have shown that the small-scale information of incompressible homogeneous isotropic turbulence (HIT) is fully recoverable as long as sufficient large-scale structure…
Skin friction and heat transfer in hypersonic transitional and turbulent boundary layers
Dehao Xu, Jianchun Wang, Shiyi Chen
The decompositions of the skin-friction and heat transfer coefficients based on the two-fold repeated integration in hypersonic transitional and turbulent boundary layers are analy…
Attention-Enhanced Neural Network Models for Turbulence Simulation
Wenhui Peng, Zelong Yuan, Jianchun Wang
Deep neural network models have shown a great potential in accelerating the simulation of fluid dynamic systems. Once trained, these models can make inference within seconds, thus…
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…