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| 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 Authors: Lv JQ(吕家琦); Hong QZ(洪启臻); Wang XY(王小永); Mao, Zhiping; Sun QH(孙泉华) Favorite  |  View/Download:61/0  |  Submit date: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 Authors: Xiao TB(肖天白); Frank, Martin Favorite  |  View/Download:33/0  |  Submit date:2023/09/05 Kinetic theory Computational fluid dynamics Scientific machine learning Artificial neural network |
| Combining direct and indirect sparse data for learning generalizable turbulence models 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112272 Authors: Zhang XL(张鑫磊); Xiao, Heng; Luo, Xiaodong; He GW(何国威) Favorite  |  View/Download:35/0  |  Submit date:2023/09/05 Ensemble Kalman method Turbulence modeling Direct data Indirect data |
| Predicting continuum breakdown with deep neural networks 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278 Authors: Xiao TB(肖天白); Schotthoefer, Steffen; Frank, Martin Favorite  |  View/Download:28/0  |  Submit date:2023/09/05 Computational fluid dynamics Kinetic theory Boltzmann equation Multi-scale method Deep learning |
| A cache-efficient reordering method for unstructured meshes with applications to wall-resolved large-eddy simulations 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 480, 页码: 112009 Authors: Liu Y(刘毅); Wang HP(王洪平); Wang SZ(王士召); He GW(何国威) Favorite  |  View/Download:65/0  |  Submit date:2023/06/15 Large -eddy simulations Unstructured mesh High performance computing Mesh reordering Cache utilization |
| An interface-resolved phase-change model based on velocity decomposition 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 475, 页码: 28 Authors: Lu M(卢敏); Yang ZX(杨子轩); He GW(何国威) Favorite  |  View/Download:138/0  |  Submit date:2023/02/20 Phase-change model Velocity decomposition Multi-phase flow |
| 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 Authors: Fei,Fei; Hu Y(胡远); Jenny,Patrick Adobe PDF(2942Kb)  |  Favorite  |  View/Download:144/30  |  Submit date:2022/11/21 Stochastic particle method BGK model DSMC Polyatomic gas Multiscale flows |
| Artificial neural network based response surface for data-driven dimensional analysis 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19 Authors: Xu ZY(许昭越); Zhang XL(张鑫磊); Wang SZ(王士召); He GW(何国威) Adobe PDF(2241Kb)  |  Favorite  |  View/Download:310/27  |  Submit date:2022/07/18 Artificial neural network Response surface Data-driven dimensional analysis Machine learning Fluid-structure interaction |
| A new finite element level set reinitialization method based on the shifted boundary method 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 438, 页码: 110360 Authors: Xue, Tianju; Sun, WaiChing; Adriaenssens, Sigrid; Wei YJ(魏宇杰); Liu CQ(刘传奇) Adobe PDF(1807Kb)  |  Favorite  |  View/Download:99/36  |  Submit date:2022/10/25 Level set Reinitialization Shift boundary method |
| 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 Authors: Peng J(彭峻); Liu, Shengping; Li SY(李诗尧); Zhang K(张珂); Shen YQ(申义庆) Adobe PDF(5883Kb)  |  Favorite  |  View/Download:398/57  |  Submit date:2021/03/03 Numerical simulation Compressible flow Shock-capturing scheme TENO scheme Adaptive dissipation |