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A cluster analysis-based shock wave pattern recognition method for two-dimensional inviscid compressible flows 期刊论文
Journal of Computational Physics, 2024, 页码: 33
作者:  Chang SY(常思源);  Liu J(刘君);  Cui K(崔凯)
Adobe PDF(5606Kb)  |  收藏  |  浏览/下载：41/8  |  提交时间：2024/03/18
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 491, 页码: 112344
作者:  Lv JQ(吕家琦);  Hong QZ(洪启臻);  Wang XY(王小永);  Mao, Zhiping;  Sun QH(孙泉华)
Adobe PDF(5558Kb)  |  收藏  |  浏览/下载：63/0  |  提交时间：2023/09/26
Hypersonic  Thermochemical nonequilibrium  State-to-state approach  Deep learning  Multiphysics  Data assimilation  
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 490, 页码: 112317
作者:  Xiao TB(肖天白);  Frank, Martin
Adobe PDF(5203Kb)  |  收藏  |  浏览/下载：34/0  |  提交时间：2023/09/05
Kinetic theory  Computational fluid dynamics  Scientific machine learning  Artificial neural network  
Adaptive transfer learning for PINN 期刊论文
Journal of Computational Physics, 2023, 卷号: 490, 页码: 1 - 29
作者:  Liu Y(刘洋);  Liu W(刘文);  Yan XS;  Guo SQ(郭帅旗);  Zhang CA(张陈安)
Adobe PDF(5571Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2023/08/21
Predicting continuum breakdown with deep neural networks 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
作者:  Xiao TB(肖天白);  Schotthoefer, Steffen;  Frank, Martin
Adobe PDF(3004Kb)  |  收藏  |  浏览/下载：29/0  |  提交时间：2023/09/05
Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning  
A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 471, 页码: 21
作者:  Fei,Fei;  Hu Y(胡远);  Jenny,Patrick
Adobe PDF(2942Kb)  |  收藏  |  浏览/下载：150/30  |  提交时间：2022/11/21
Stochastic particle method  BGK model  DSMC  Polyatomic gas  Multiscale flows  
An efficient targeted ENO scheme with local adaptive dissipation for compressible flow simulation 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 425, 页码: 25
作者:  Peng J(彭峻);  Liu, Shengping;  Li SY(李诗尧);  Zhang K(张珂);  Shen YQ(申义庆)
Adobe PDF(5883Kb)  |  收藏  |  浏览/下载：410/57  |  提交时间：2021/03/03
Numerical simulation  Compressible flow  Shock-capturing scheme  TENO scheme  Adaptive dissipation  
Application of CE/SE method to gas-particle two-phase detonations under an Eulerian-Lagrangian framework 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 394, 页码: 18-40
作者:  Zhang ZJ(张子健);  Wen CY;  Liu YF(刘云峰);  Zhang DL(张德良);  Jiang ZL(姜宗林)
Adobe PDF(4374Kb)  |  收藏  |  浏览/下载：381/131  |  提交时间：2019/09/09
Two-phase detonation  CE/SE  Eulerian-Lagrangian  MPI  Aluminum-air detonation  
Time efficient aeroelastic simulations based on radial basis functions 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 卷号: 330, 页码: 810-827
作者:  Liu W(刘文);  Huang CD(黄程德);  Yang GW(杨国伟);  Liu, W (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
浏览  |  Adobe PDF(5302Kb)  |  收藏  |  浏览/下载：357/104  |  提交时间：2017/04/26
A unified gas-kinetic scheme for continuum and rarefied flows IV: Full Boltzmann and model equations 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 卷号: 314, 页码: 305-340
作者:  Liu C;  Xu K;  Sun QH(孙泉华);  Cai QD;  Xu, K (reprint author), Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China.;  Xu, K (reprint author), Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Hong Kong, Peoples R China.
浏览  |  Adobe PDF(2477Kb)  |  收藏  |  浏览/下载：292/107  |  提交时间：2016/09/14
Direct Modeling  Unified Gas Kinetic Scheme  Boltzmann Equation  Kinetic Collision Model  Asymptotic Preserving