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Chengwen Zhong

Researcher at Northwestern Polytechnical University

Publications -  106
Citations -  1513

Chengwen Zhong is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Lattice Boltzmann methods & Finite volume method. The author has an hindex of 19, co-authored 84 publications receiving 1101 citations. Previous affiliations of Chengwen Zhong include National Institute of Advanced Industrial Science and Technology.

Papers
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Proceedings ArticleDOI

Implementation and Analysis of AES Encryption on GPU

TL;DR: A CUDA implementation of Electronic Codebook (ECB) mode encoding process and Cipher Feedback (CBC) mode decoding process on GPU to improve the efficiency of AES algorithm.
Journal ArticleDOI

Implicit unified gas-kinetic scheme for steady state solutions in all flow regimes

TL;DR: The lower-upper symmetric Gauss-Seidel (LU-SGS) factorization method is implemented to solve both macroscopic and microscopic equations, which improves the efficiency of the scheme.
Journal ArticleDOI

Unified gas-kinetic scheme for diatomic molecular simulations in all flow regimes

TL;DR: A unified gas-kinetic scheme (UGKS) is constructed for both continuum and rarefied flow computations, where the gas-Kinetic Rykov model with a Landau-Teller-Jeans-type rotational energy relaxation is used in the numerical scheme.
Journal ArticleDOI

Lattice Boltzmann simulation of cavitating bubble growth with large density ratio

TL;DR: The exact difference method (EDM) and the Carnahan-Starling real-gas equation of state (EOS) are coupled in the Shan-Chen multiphase lattice Boltzmann model, which is validated as being suitable for simulating high liquid/vapor density ratio multiphases flows.
Journal ArticleDOI

LES-based filter-matrix lattice Boltzmann model for simulating turbulent natural convection in a square cavity

TL;DR: In this article, a thermal filter-matrix lattice Boltzmann model based on large eddy simulation (LES) is proposed for simulating turbulent natural convection, and the Vreman subgrid-scale eddy-viscosity model is introduced into the present framework of LES to accurately predict the flow in near-wall region.