中文版 | English

在结果中检索

IMECH-IR

浏览/检索结果: 共26条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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  
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：73/0  |  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：144/0  |  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：335/30  |  提交时间：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
作者:  Xue, Tianju;  Sun, WaiChing;  Adriaenssens, Sigrid;  Wei YJ(魏宇杰);  Liu CQ(刘传奇)
Adobe PDF(1807Kb)  |  收藏  |  浏览/下载：101/37  |  提交时间：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
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