机构

• 金属研究所 [2]
• 长春光学精密机械与物... [1]
• 海洋研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2013 [1]
• 2010 [1]
• 2007 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Multi-Scale Window Spatiotemporal Attention Network for Subsurface Temperature Prediction and Reconstruction 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 12, 页码: 18 作者:  Jiang, Jiawei;  Wang, Jun;  Liu, Yiping;  Huang, Chao;  Jiang, Qiufu   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/09/02 temperature structure prediction  temperature structure reconstruction  spatiotemporal window ocean  satellite observations  spatiotemporal attention mechanism   First-principles investigation of the structural and electronic properties of bulk full-Heusler alloy Mn2CoSn and its (001) surface 期刊论文  OAI收割 Journal of Alloys and Compounds, 2013, 卷号: 565, 页码: 17-21 J. M. K. Al-Zyadi; G. Y. Gao; K. L. Yao 收藏  |  浏览/下载：32/0  |  提交时间：2013/12/24 Mn2CoSn Heusler compound  CuHg2Ti structure  Half-metallicity  LSDA  half-metallic ferromagnetism  magnetic-properties  spin polarization  compound  temperature  prediction  transport  systems  ga  ge   Prediction model of molten iron endpoint temperature in AOD furnace based on RBF neural network (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010, January 9, 2010 - January 10, 2010, Harbin, China Ma H.-T.; You W.; Chen T. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition  analyzes the impact factor of AOD furnace molten iron endpoint temperature  by optimizing the neural network connection weights and structure  design prediction model of molten iron endpoint temperature based on RBF neural network  using LM algorithm and 50 furnaces actual production data to train the model  and predicts another 50 furnaces molten iron temperature  Result shows that prediction model of molten iron endpoint temperature based on RBF neural network has a high accuracy  when the error of endpoint temperature is 12 C  hit rate of temperature is 82.4%. 2010 IEEE.   First-principles study of shear deformation in TiAl and Ti3Al 期刊论文  OAI收割 Intermetallics, 2007, 卷号: 15, 期号: 3, 页码: 428-435 Y. L. Liu; L. M. Liu; S. Q. Wang; H. Q. Ye 收藏  |  浏览/下载：30/0  |  提交时间：2012/04/13 multiphase intermetallics  plastic deformation mechanisms  Ab initio  calculations  phase stability prediction  aero-engine components  stacking-fault energies  phase-transformation  alloying elements  dislocation nucleation  electronic-structure  elastic-constants  room-temperature  tensile-strength  1st principles  al