C. Xie

发表

Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence.

Chao Ma, C. Xie, Jianchun Wang, 2019, Physical review. E.

Modeling subgrid-scale force and divergence of heat flux of compressible isotropic turbulence by artificial neural network

Chao Ma, C. Xie, Jianchun Wang, 2019, Physical Review Fluids.

Modeling subgrid-scale forces by spatial artificial neural networks in large eddy simulation of turbulence

W. E, C. Xie, Jianchun Wang, 2020 .

A modified optimal LES model for highly compressible isotropic turbulence

C. Xie, Jianchun Wang, Haiyang Li, 2018, Physics of Fluids.

Effects of compressibility and Atwood number on the single-mode Rayleigh-Taylor instability

C. Xie, Jianchun Wang, Shiyi Chen, 2020 .

Effect of shock waves on the statistics and scaling in compressible isotropic turbulence.

C. Xie, Jianchun Wang, Shiyi Chen, 2018, Physical review. E.

Cascades of temperature and entropy fluctuations in compressible turbulence

C. Xie, Jianchun Wang, Shiyi Chen, 2019, Journal of Fluid Mechanics.

Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2021, Acta Mechanica Sinica.

Viscous Rayleigh-Taylor instability with and without diffusion effect

C. Xie, J. Tao, Ji Li, 2016, Applied Mathematics and Mechanics.

Artificial neural network approach for turbulence models: A local framework

C. Xie, Jianchun Wang, Xiangming Xiong, 2021, Physical Review Fluids.

Dynamic nonlinear algebraic models with scale-similarity dynamic procedure for large-eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2021, Advances in Aerodynamics.

Dynamic iterative approximate deconvolution models for large-eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2021, Physics of Fluids.

A dynamic spatial gradient model for the subgrid closure in large-eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2021, Physics of Fluids.

Artificial neural network-based spatial gradient models for large-eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2021 .

Deconvolutional artificial neural network models for large eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2020, 2007.14212.

Viscous Rayleigh-Taylor instability with and without diffusion effect

C. Xie, J. Tao, Ji Li, 2017 .

Artificial neural network mixed model for large eddy simulation of compressible isotropic turbulence

C. Xie, Jianchun Wang, Shiyi Chen, 2019, Physics of Fluids.

Spatially multi-scale artificial neural network model for large eddy simulation of compressible isotropic turbulence

C. Xie, Jianchun Wang, Shiyi Chen, 2020 .

Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2020, Physics of Fluids.

An Approximate Second-Order Closure Model for Large-Eddy Simulation of Compressible Isotropic Turbulence

C. Xie, 2020 .

Retarding viscous Rayleigh-Taylor mixing by an optimized additional mode.

C. Xie, J. Li, J. Tao, 2017, Physical Review E.

Impact of Parameterized Isopycnal Diffusivity on Shelf‐Ocean Exchanges Under Upwelling‐Favorable Winds: Offline Tracer Simulations Augmented by Artificial Neural Network

C. Xie, Huaiyu Wei, Yan Wang, 2023, Journal of Advances in Modeling Earth Systems.

Temporally sparse data assimilation for the small-scale reconstruction of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2022, Physics of Fluids.

Temporally sparse data assimilation for the generation of small-scale structures of turbulence

C. Xie, Jianchun Wang, Zelong Yuan, 2022 .