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Stochastic dynamics of aircraft ground taxiing via improved physics-informed neural networks 期刊论文
NONLINEAR DYNAMICS, 2024, 页码: 16
作者:  Zhang, Ying;  Jin, Zhengrong;  Wang L(王笼);  Zheng, Kaixin;  Jia, Wantao
收藏  |  浏览/下载：23/0  |  提交时间：2024/02/19
PINNs  Aircraft ground taxiing model  Fokker-Planck equations  Inverse problem  
Physical interpretation of neural network-based nonlinear eddy viscosity models 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
作者:  Zhang XL(张鑫磊);  Xiao, Heng;  Jee, Solkeun;  He GW(何国威)
Adobe PDF(5699Kb)  |  收藏  |  浏览/下载：40/0  |  提交时间：2023/11/28
Machine learning  Turbulence modeling  Ensemble Kalman inversion  Physical interpretability  
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：87/0  |  提交时间：2023/08/21
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
作者:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
Adobe PDF(3908Kb)  |  收藏  |  浏览/下载：82/0  |  提交时间：2023/09/26
Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning  
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  
Study of the effects of hydraulic fractures on gas and water flow in shale gas reservoirs 期刊论文
Energy Sources, Part A: Recovery Utilization and Environmental Effects, 2023, 卷号: 45, 期号: 3, 页码: 9540-9551
作者:  Wan YJ;  Chen ZY;  Shen WJ (沈伟军);  Kuang ZX;  Liu XH;  Guo W;  Hu Y
浏览  |  Adobe PDF(1984Kb)  |  收藏  |  浏览/下载：485/91  |  提交时间：2019/11/15
Shale gas reservoir  hydraulic fracture  sensitivity analysis  gas desorption  water retention  gas production  
Force measurement using strain-gauge balance in shock tunnel based on deep learning 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
作者:  Nie SJ(聂少军);  Wang YP(汪运鹏);  Jiang ZL(姜宗林)
Adobe PDF(2346Kb)  |  收藏  |  浏览/下载：16/0  |  提交时间：2024/02/26
Convolutional neural net-works  Deep learning  Frequency domain analysis  Force measurement  Time domain analysis  Recurrent neural networks  
Investigation of particle size impact on dense particulate flows in a vertical pipe 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 7, 页码: 73302
作者:  Ren WL(任万龙);  Zhang XH(张旭辉);  Zhang Y(张岩);  Li P(李鹏);  Lu XB(鲁晓兵)
Adobe PDF(2756Kb)  |  收藏  |  浏览/下载：51/1  |  提交时间：2023/09/05