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| 基于机器学习的干酪根热演化与流动的量子力学机制研究 学位论文
硕士论文，北京: 中国科学院大学, 2022
Authors: 马骏
 Adobe PDF(4603Kb) |  Favorite | View/Download：253/5 | Submit date：2023/01/09
干酪根热演化，不可压缩薛定谔流动，机器学习，量子力学，轨道杂化 |
| Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation 期刊论文
AIP ADVANCES, 2022, 卷号: 12, 期号: 12, 页码: 9
Authors: Zhao QY(赵庆义); Jin GD(晋国栋); Zhou ZD(周志登)
 Adobe PDF(10288Kb) | Favorite | View/Download：185/51 | Submit date：2023/02/03 |
| 基于机器学习的干酪根分子重构及裂解化学-力学机制研究 学位论文
博士论文，北京: 中国科学院大学, 2022
Authors: 康 东亮
Adobe PDF(9633Kb) | Favorite | View/Download：228/8 | Submit date：2023/01/13
力能学 组合爆炸 机器学习 干酪根分子重构 裂解化学-力学性质 |
| Estimating forces from cross-sectional data in the wake of flows past a plate using theoretical and data-driven models 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 11, 页码: 19
Authors: Tong, Wenwen; Wang SZ(王士召); Yang, Yue
Adobe PDF(4063Kb) | Favorite | View/Download：181/32 | Submit date：2022/12/20 |
| Ensemble Kalman method for learning turbulence models from indirect observation data 期刊论文
JOURNAL OF FLUID MECHANICS, 2022, 卷号: 949
Authors: Zhang XL(张鑫磊); Xiao, Heng; Luo, Xiaodong; He GW(何国威)
Adobe PDF(1302Kb) | Favorite | View/Download：218/53 | Submit date：2022/10/23
turbulence modelling machine learning |
| 面向可靠性设计的发动机材料超高周疲劳强度估计方法 期刊论文
航空动力学报, 2022, 卷号: 37, 期号: 08, 页码: 1761-1770
Authors: 陈新; 何玉怀; 许巍; 孙成奇
Adobe PDF(1114Kb) | Favorite | View/Download：586/61 | Submit date：2022/11/14
超高周疲劳(VHCF) 随机疲劳极限(RFL)模型 概率-应力-寿命(P-S-N)曲线 疲劳数据处理 钛合金 |
| 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
Authors: Xu ZY(许昭越); Zhang XL(张鑫磊); Wang SZ(王士召); He GW(何国威)
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Artificial neural network Response surface Data-driven dimensional analysis Machine learning Fluid-structure interaction |
| 高熵合金药型罩动态性能及结构优化研究 学位论文
硕士论文，北京: 中国科学院大学, 2022
Authors: 陈健
Adobe PDF(4887Kb) | Favorite | View/Download：390/23 | Submit date：2022/07/01
高熵合金 药型罩 微结构演化 有限元模拟 机器学习 |
| A robust super-resolution reconstruction model of turbulent flow data based on deep learning 期刊论文
COMPUTERS & FLUIDS, 2022, 卷号: 239, 页码: 15
Authors: Zhou ZD(周志登); Li BL(李秉霖); Yang XL(杨晓雷); Yang ZX(杨子轩)
Adobe PDF(4959Kb) | Favorite | View/Download：233/58 | Submit date：2022/07/18
Super-resolution model Direct numerical simulation Large-Eddy simulation Isotropic turbulence Unresolved scales |
| Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning 期刊论文
ENGINEERING FRACTURE MECHANICS, 2022, 卷号: 264, 页码: 17
Authors: Zhan, Zhixin; Ao, Ni; Hu, Yanan; Liu CQ(刘传奇)
Adobe PDF(11978Kb) | Favorite | View/Download：226/43 | Submit date：2022/05/17
Data-driven modeling Additive manufacturing 300M-AerMet100 steel Experimental investigations Fatigue assessment |
