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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)
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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
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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
Authors:  Liu Y(刘洋);  Liu W(刘文);  Yan XS;  Guo SQ(郭帅旗);  Zhang CA(张陈安)
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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
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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
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  Luo, Xiaodong;  He GW(何国威)
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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
Authors:  Liu Y(刘毅);  Wang HP(王洪平);  Wang SZ(王士召);  He GW(何国威)
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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)
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Phase-change model  Velocity decomposition  Multi-phase flow