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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)
 Adobe PDF(5558Kb) |  Favorite | View/Download：83/4 | Submit date：2023/09/26
Hypersonic Thermochemical nonequilibrium State-to-state approach Deep learning Multiphysics Data assimilation |
| 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
Adobe PDF(3004Kb) | Favorite | View/Download：38/3 | Submit date：2023/09/05
Computational fluid dynamics Kinetic theory Boltzmann equation Multi-scale method Deep learning |
| 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)
Adobe PDF(3953Kb) | Favorite | View/Download：194/10 | 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：196/47 | Submit date：2022/11/21
Stochastic particle method BGK model DSMC Polyatomic gas Multiscale flows |
| 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：141/49 | 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：466/66 | Submit date：2021/03/03
Numerical simulation Compressible flow Shock-capturing scheme TENO scheme Adaptive dissipation |
| High-order adapter schemes for cell-centered finite difference method 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 卷号: 403, 页码: 25
Authors: Liao F(廖飞); He GW(何国威)
Adobe PDF(3897Kb) | Favorite | View/Download：331/91 | Submit date：2020/03/11
High-order scheme Geometric conservation law Finite difference method Adapter scheme Multiblock grids |
| 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
Authors: Zhang ZJ(张子健); Wen CY; Liu YF(刘云峰); Zhang DL(张德良); Jiang ZL(姜宗林)
 View | Adobe PDF(4374Kb) | Favorite | View/Download：443/154 | Submit date：2019/09/09
Two-phase detonation CE/SE Eulerian-Lagrangian MPI Aluminum-air detonation |
| A hydrodynamic stress model for simulating turbulence/particle interactions with immersed boundary methods 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 382, 页码: 240-263
Authors: Wang SZ(王士召); Vanella M; Balaras E
View | Adobe PDF(7411Kb) | Favorite | View/Download：719/79 | Submit date：2019/04/11
Hydrodynamic stress model Immersed boundary method Particle-resolved direct numerical simulations |
| A new front tracking method using particles with extended location information 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 378, 页码: 497-547
Authors: Fan P(范平)
View | Adobe PDF(7065Kb) | Favorite | View/Download：304/91 | Submit date：2019/04/11
Moving interface Front tracking Numerical scheme Extended location information |
