中国科学院机构知识库网格系统: 检索

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	Deep propagation of wind-generated near-inertial waves in the Northern South China Sea 期刊论文 OAI收割 DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2024, 卷号: 204, 页码: 11 作者: Chen, Zifei; Chen, Zhiwu; Yu, Fei; Qiang, Ren; Liu, Xingchuan \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2024/04/07 Near -inertial waves Deep propagation Energy flux Diapycnal mixing
	Characterization of Ceramic Thermal Shock Cracks Based on the Multifractal Spectrum 期刊论文 OAI收割 FRACTAL AND FRACTIONAL, 2022, 卷号: 6, 期号: 10, 页码: 13 作者: Shao,Changxu; Guo,Hao; Meng,Songhe; Shao YF(邵颖峰); Wang,Shanxiang \| 收藏 \| 浏览/下载：65/0 \| 提交时间：2022/11/21 ceramics thermal shocks crack propagation multifractal spectrum deep learning
	Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment 期刊论文 OAI收割 MATHEMATICS, 2022, 卷号: 10, 期号: 15 作者: Zhang, Xiaodan; Zhang, Xun; Xiao, Yuan; Liu, Gang \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2022/09/28 image aesthetic assessment semi-supervised learning label propagation deep learning computer vision
	GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者: Jiang, Bo; Wang, Leiling; Cheng, Jian; Tang, Jin; Luo, Bin \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2022/01/27 Task analysis Computer architecture Semisupervised learning Deep learning Laplace equations Data models Labeling Graph embedding graph neural networks (GNNs) graph propagation semi-supervised learning
	An efficient hybrid model for thermal analysis of deep borehole heat exchangers 期刊论文 OAI收割 GEOTHERMAL ENERGY, 2020, 卷号: 8, 期号: 1, 页码: 31 作者: Zhao, Yazhou; Pang, Zhonghe; Huang, Yonghui; Ma, Zhibo \| 收藏 \| 浏览/下载：48/0 \| 提交时间：2020/07/07 Deep borehole heat exchanger Efficient modeling Analytical formulation Heat propagation front Accuracy and calculation acceleration
	Discriminating Schizophrenia from Normal Controls Using Resting State Functional Network Connectivity: A Deep Neural Network and Layer-Wise Relevance Propagation Method 会议论文 OAI收割 Tokyo,Japan, 2017/9/25-28 作者: Weizheng Yan; Sergey Plis; Vince D Calhoun; Shengfeng Liu; Rongtao Jiang \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2018/03/09 Deep Neural Network Layer-wise Relevance Propagation Functional Network Connectivity Schizophrenia Classification Fmri
	Evolution of In Situ Rock Mass Damage Induced by Mechanical-Thermal Loading SCI/SSCI论文 OAI收割 2013 Lan H. X.; Martin C. D.; Andersson J. C. 收藏 \| 浏览/下载：33/0 \| 提交时间：2014/12/24 Brittle rock mass Deep underground In situ Evolution of progressive damage Mechanical-thermal loading canadian geotechnical colloquium shear-fracture westerly granite propagation transition behavior failure
	A design of beam shaping unit for 193nm lithography illumination system using angular spectrum theory (EI CONFERENCE) 会议论文 OAI收割 6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China 作者: Zhao Y.; Zhang W.; Zhang W.; Li S.; Gong Y. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 Off-axis illumination (OAI) technology is widely used to enhance resolution for deep ultraviolet lithography. The realizing methods of OAI include geometrical optics method and physical optics method. However the former has the disadvantage of weak intensity distribution controlling ability and the latter introduces simulation errors evidently when dealing with near field diffraction propagation. A diffractive optical element (DOE) designing method using plane wave angular spectrum theory is presented in this paper. Several kinds of OAI modes at near field away from DOE can be realized and simulation errors and the size of illuminator are also reduced. According to studying the relationships of the sampling point distance of DOE light beam propagation distance and the structure of the beam shaping unit a method of determining the designing parameters is discussed. Using this method several illumination modes are realized and simulation results show that all diffraction efficiencies reach up to 84%. The method of DOE manufacturing is analyzed at last and it is proven to be feasible. 2010 SPIE.