咨询与建议

限定检索结果

文献类型

  • 273 篇 期刊文献
  • 241 篇 会议

馆藏范围

  • 514 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 308 篇 理学
    • 151 篇 物理学
    • 88 篇 数学
    • 65 篇 大气科学
    • 35 篇 地球物理学
    • 30 篇 统计学(可授理学、...
    • 26 篇 化学
    • 15 篇 海洋科学
    • 10 篇 生物学
    • 8 篇 天文学
    • 8 篇 系统科学
  • 271 篇 工学
    • 86 篇 电子科学与技术(可...
    • 75 篇 信息与通信工程
    • 67 篇 计算机科学与技术...
    • 51 篇 电气工程
    • 49 篇 软件工程
    • 34 篇 材料科学与工程(可...
    • 31 篇 航空宇航科学与技...
    • 28 篇 光学工程
    • 28 篇 化学工程与技术
    • 27 篇 控制科学与工程
    • 26 篇 动力工程及工程热...
    • 21 篇 仪器科学与技术
    • 20 篇 力学(可授工学、理...
    • 20 篇 机械工程
    • 13 篇 冶金工程
    • 12 篇 土木工程
    • 9 篇 核科学与技术
    • 8 篇 建筑学
  • 25 篇 管理学
    • 20 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 7 篇 农学
  • 4 篇 经济学
  • 4 篇 医学
  • 4 篇 军事学
  • 1 篇 法学

主题

  • 14 篇 frequency select...
  • 11 篇 electromagnetic ...
  • 10 篇 optimization
  • 9 篇 simulation
  • 7 篇 reflection
  • 7 篇 computational el...
  • 7 篇 convolution
  • 7 篇 computational mo...
  • 6 篇 stability analys...
  • 6 篇 radar cross-sect...
  • 6 篇 radar cross sect...
  • 5 篇 deep learning
  • 5 篇 gravitational wa...
  • 5 篇 electromagnetics
  • 5 篇 cosmic rays
  • 5 篇 horn antennas
  • 5 篇 analytical model...
  • 5 篇 training
  • 4 篇 jamming
  • 4 篇 metals

机构

  • 74 篇 national key lab...
  • 56 篇 state key labora...
  • 27 篇 national key lab...
  • 27 篇 university of ch...
  • 19 篇 laboratory for r...
  • 17 篇 national key lab...
  • 13 篇 institute of app...
  • 13 篇 national key lab...
  • 12 篇 national key lab...
  • 11 篇 department of mo...
  • 11 篇 indian institute...
  • 10 篇 college of infor...
  • 9 篇 national key lab...
  • 9 篇 department of ph...
  • 9 篇 beijing institut...
  • 8 篇 infn e laborator...
  • 8 篇 lpnhe sorbonne u...
  • 8 篇 faculty of scien...
  • 8 篇 department of ph...
  • 8 篇 department for p...

作者

  • 51 篇 jiaqi liu
  • 50 篇 liu jiaqi
  • 27 篇 lu gao
  • 24 篇 gao lu
  • 21 篇 xin liu
  • 21 篇 liu xin
  • 19 篇 ai xia
  • 16 篇 zhang shengjun
  • 15 篇 shengjun zhang
  • 14 篇 gang meng
  • 14 篇 jiang zhiye
  • 14 篇 xia ai
  • 13 篇 meng gang
  • 12 篇 runle du
  • 12 篇 gang huang
  • 12 篇 zhiye jiang
  • 10 篇 jianping li
  • 9 篇 zheng pei
  • 9 篇 wu runhui
  • 9 篇 feng xue

语言

  • 481 篇 英文
  • 18 篇 其他
  • 15 篇 中文
检索条件"机构=National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics"
514 条 记 录,以下是211-220 订阅
排序:
Tensor-networks-based learning of probabilistic cellular automata dynamics
收藏 引用
Physical Review Research 2024年 第4期6卷 043202-043202页
作者: Heitor P. Casagrande Bo Xing William J. Munro Chu Guo Dario Poletti Science Mathematics and Technology Cluster Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Okinawa Institute of Science and Technology Graduate University Onna-son Okinawa 904-0495 Japan Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China EPD Pillar Singapore University of Technology and Design 8 Somapah Road Singapore 487372 Centre for Quantum Technologies National University of Singapore Singapore 117543 MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore
Algorithms developed to solve many-body quantum problems, like tensor networks, can turn into powerful quantum-inspired tools to tackle issues in the classical domain. This work focuses on matrix product operators, a ... 详细信息
来源: 评论
Design of W-band Sheet Beam EIK
Design of W-band Sheet Beam EIK
收藏 引用
Asia-Pacific Conference on Microwave
作者: Shuyuan Chen Jinliang Bai Ran Zhang Pei Zheng Jiaqi Liu Xin Liu Hongyan Liu Lu Gao National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China
Microwave tube is a vacuum electron device which can be used for amplification in the microwave frequency range. Sheet beam Extended Interaction Klystron (EIK) is an attractive Millimeter Waves amplifier because of it... 详细信息
来源: 评论
Modulation recognition of emitter signals based on SDAE-ODCNN
Modulation recognition of emitter signals based on SDAE-ODCN...
收藏 引用
IET International Radar Conference (IET IRC 2020)
作者: X. Wang J. Gao L. Gao F. Wang Harbin Engineering University College of Information and Communication Engineering Harbin China Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China
In order to improve the recognition rate of emitter signals modulation under low signal noise ratio (SNR), an end-to-end method based on the stacked denoising autoencoder (SDAE) - one dimensional convolutional neural ... 详细信息
来源: 评论
Research on influence of special-shaped honeycomb radar absorbing structure for wide-band absorbing design
Research on influence of special-shaped honeycomb radar abso...
收藏 引用
IET International Radar Conference 2018, IRC 2018
作者: Wang, Ming-Liang Liu, Jia-Qi Xin, Liu Zhao, Xin-Ying Zhang, Sheng-Jun Lei, Mu Xia, Ai Guobin, Wan Wang, Wei-Dong Zhao, Ju-Yan National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematical Beijing100076 China Northwestern Polytechnical University Xi'an710072 China
To realise wide-band stealth of radar absorbing material, a special-shaped honeycomb radar absorbing structure within nested cone-shaped scattering configuration is designed. Based on the HS theory and the impedance m... 详细信息
来源: 评论
The increase in hot–dry events with a high risk of mortality in China associated with the phase transition of the Atlantic Multidecadal Oscillation
收藏 引用
Atmospheric and Oceanic science Letters 2025年 第4期18卷
作者: Ma, Yuting Shen, Xinyong Zhao, Liang Wang, Zijia Wang, Huibin Ding, Yihui Wang, Jingsong Liu, Yanju Huang, Cunrui State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China College of Hydrology and Water Resources Hohai University Nanjing China The Second Affiliated Hospital Guangzhou Medical University Guangzhou China National Climate Center China Meteorological Administration Beijing China Key Laboratory of Space Weather National Satellite Meteorological Center (National Center for Space Weather) China Meteorological Administration Beijing China Innovation Center for FengYun Meteorological Satellite (FYSIC) Beijing China Vanke School of Public Health Tsinghua University Beijing China
Compound extreme climate events involving multiple meteorological elements usually have a more severe impact on the environment and human health than single-element extreme events. However, the current definition of m... 详细信息
来源: 评论
A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China
收藏 引用
Journal of Oceanology and Limnology 2020年 第4期38卷 930-961页
作者: ZHANG Rong-Hua YU Yongqiang SONG Zhenya REN Hong-Li TANG Youmin QIAO Fangli WU Tongwen GAO Chuan HU Junya TIAN Feng ZHU Yuchao CHEN Lin LIU Hailong LIN Pengfei WU Fanghua WANG Lin Key Laboratory of Ocean Circulation and Waves Institute of Oceanologyand Center for Ocean Mega-ScienceChinese Academy of SciencesQingdao 266071China Laboratory for Ocean and Climate Dynamics Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China Center for Excellence in Quaternary Science and Global Change Chinese Academy of SciencesXi’an 710061China University of Chinese Academy of Sciences Beijing 100049China LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100049China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Laboratory for Regional Oceanography and Numerical Modeling Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China Key Laboratory of Marine Science and Numerical Modeling(MASNUM) Ministry of Natural ResourcesQingdao 266061China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Qingdao 266061China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Laboratory for Climate Studies and CMA-NJU Joint Laboratory for Climate Prediction Studies National Climate CenterChina Meteorological AdministrationBeijing 100081China Environmental Science and Engineering University of Northern British ColumbiaBritish Columbia V2N 4Z9Canada State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Key Laboratory of Meteorological Disaster Ministry of Education(KLME)and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjing 210044China Beijing Climate Center China Meteorological AdministrationBeijing 100081China
El Nino-Southern Oscillation(ENSO) is the strongest interannual signal that is producedby basinscale processes in the tropical Pacific,with significant effects on weather and climate *** the past,extensive and intensi... 详细信息
来源: 评论
Evaluation and Uncertainty Analysis of Himawari-8 Hourly Aerosol Product Version 3.1 and its Influence on Surface Solar Radiation Before and During the COVID-19 Outbreak
SSRN
收藏 引用
SSRN 2023年
作者: Tang, Chenqian Shia, Chong Husi, Letu Ma, Run Yoshida, Mayumi Kikuchi, Maki Xu, Jian Li, Nan Zhao, Mengjie Chen, Liangfu Shi, Guangyu State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China Nanjing University of Information Science & Technology Nanjing210044 China Remote Sensing Technology Center of Japan Tsukuba305-8505 Japan Japan Aerospace Exploration Agency Tsukuba305-8505 Japan National Space Science Center Chinese Academy of Sciences Beijing100190 China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing210044 China Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing100101 China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China University of Chinese Academy of Sciences Beijing100049 China
The hourly Himawari-8 version 3.1 (V31) aerosol product has been released and incorporates an updated Level 2 algorithm that uses forecast data as an a priori estimate. However, there has not been a thorough evaluatio... 详细信息
来源: 评论
Complex forward scattering coefficient for signal characterisation
Complex forward scattering coefficient for signal characteri...
收藏 引用
IET International Radar Conference 2018, IRC 2018
作者: Chen, Jing Liu, Xiangrong Liu, Changjiang Dong, Xichao School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China
In this study, modelling and characteristics analysis of forward scattering coefficients and echoes are investigated. Traditional ground-target forward scattering signal model has not considered the impact of scatteri... 详细信息
来源: 评论
Simulated response of the active layer thickness of permafrost to climate change
收藏 引用
Atmospheric and Oceanic science Letters 2021年 第1期14卷 40-45页
作者: Ruichao Li Jinbo Xie Zhenghui Xie Junqiang Gao Binghao Jia Peihua Qin Longhuan Wang Yan Wang Bin Liu Si Chen State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Mathematics and Statistics Nanjing University of information Science and TechnologyNanjingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijingChina
The active layer thickness(ALT)in permafrost regions,which affects water and energy exchange,is a key variable for assessing hydrological processes,cold-region engineering,and climate *** this study,the authors analyz... 详细信息
来源: 评论
Automatic MHT Method Based on Target Characteristics Applied in the Small Space Targets  3
Automatic MHT Method Based on Target Characteristics Applied...
收藏 引用
3rd International Conference on Design, Mechanical and Material Engineering, D2ME 2018
作者: Zhao, Qian Niu, Zhenhong Xue, Lian Liu, Xin Li, Jianhua Li, Zhifeng National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics China
The Multi-Hypothesis Tracking (MHT) method is one of the most promising approaches to realize automatic tracking of small and dim targets in complex space scene. However, the number of hypotheses generated by this alg... 详细信息
来源: 评论