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Defining kerogen maturity from orbital hybridization by machine learning 期刊论文
FUEL, 2022, 卷号: 310, 页码: 10
Authors:  Ma J(马俊);  Kang DL(康东亮);  Wang XH(王晓荷);  Zhao YP(赵亚溥)
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Kerogen maturity  Orbital hybridization  Machine learning  Quantum chemistry  
Wall-model integrated computational framework for large-eddy simulations of wall-bounded flows 期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 12, 页码: 10
Authors:  Lv Y(吕钰);  Huang XLD;  Yang XL(杨晓雷);  Yang XIA
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Analysis and prediction of high-speed train wheel wear based on SIMPACK and backpropagation neural networks 期刊论文
EXPERT SYSTEMS, 2021, 卷号: 38, 期号: 7, 页码: 11
Authors:  Wang, Shuwen;  Yan, Hao;  Liu, Caixia;  Fan, Ning;  Liu XM(刘小明);  Wang, Chengguo
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BP neural networks  high-speed train  SIMPACK  wheel wear  
Reynolds number effect on statistics of turbulent flows over periodic hills 期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 10, 页码: 28
Authors:  Zhou ZD(周志登);  Wu T(吴霆);  Yang XL(杨晓雷)
Adobe PDF(16361Kb)  |  Favorite  |  View/Download:143/27  |  Submit date:2022/01/13
Predicting the components and types of kerogen in shale by combining machine learning with NMR spectra 期刊论文
FUEL, 2021, 卷号: 290, 页码: 10
Authors:  Kang DL(康东亮);  Wang XH(王晓荷);  Zheng XJ(郑晓娇);  Zhao YP(赵亚溥)
Adobe PDF(5174Kb)  |  Favorite  |  View/Download:396/142  |  Submit date:2021/03/30
Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets  
Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks 会议论文
EEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, ENGLAND, JUN 21-23, 2017
Authors:  Fan N;  Wang SW;  Liu CX;  Liu XM(刘小明)
View  |  Adobe PDF(753Kb)  |  Favorite  |  View/Download:306/140  |  Submit date:2018/06/06
Big Data  Wheel Wear  Variance Analysis  Nar Neural Network  Prediction  
A Simple Model for Predicting the Two-Phase Heavy Crude Oil Horizontal Flow with Low Gas Fraction 期刊论文
CHEMICAL ENGINEERING COMMUNICATIONS, 2016, 卷号: 203, 期号: 9, 页码: 1131-1138
Authors:  Chen XP(陈小平);  Xu JY(许晶禹);  Zhang J(张健);  Xu, JY (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
View  |  Adobe PDF(698Kb)  |  Favorite  |  View/Download:539/93  |  Submit date:2016/06/02
Drift-flux Model  Gas-liquid Flow  Heavy Crude Oil  Pressure Gradient  Viscosity  Void Fraction