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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：39/8 | 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 |
| 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
作者: Zhang XL(张鑫磊); Xiao, Heng; Luo, Xiaodong; He GW(何国威)
Adobe PDF(7111Kb) | 收藏 | 浏览/下载：37/0 | 提交时间：2023/09/05
Ensemble Kalman method Turbulence modeling Direct data Indirect data |
| 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
作者: Liu Y(刘毅); Wang HP(王洪平); Wang SZ(王士召); He GW(何国威)
Adobe PDF(9368Kb) | 收藏 | 浏览/下载：71/0 | 提交时间：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
作者: Lu M(卢敏); Yang ZX(杨子轩); He GW(何国威)
Adobe PDF(3953Kb) | 收藏 | 浏览/下载：143/0 | 提交时间：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
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 |
| 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
作者: Xu ZY(许昭越); Zhang XL(张鑫磊); Wang SZ(王士召); He GW(何国威)
Adobe PDF(2241Kb) | 收藏 | 浏览/下载：333/30 | 提交时间：2022/07/18
Artificial neural network Response surface Data-driven dimensional analysis Machine learning Fluid-structure interaction |
