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兰州理工大学 [5]
广州地球化学研究所 [3]
心理研究所 [2]
自动化研究所 [2]
金属研究所 [1]
上海药物研究所 [1]
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期刊论文 [15]
发表日期
2020 [15]
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Reliability map of individual differences reflected in inter-subject correlation in naturalistic imaging
期刊论文
NEUROIMAGE, 2020, 卷号: 223, 页码: 13
作者:
Gao, Jiaqi
;
Chen, Gang
;
Wu, Jinfeng
;
Wang, Yinshan
;
Hu, Yang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/12/28
Inter-subject correlation
Individual difference
Movie paradigm
Naturalistic imaging
Retest reliability
Electrospinning CoS2/carbon nanofibers with enhanced stability as electrode materials for supercapacitors
期刊论文
Ionics, 2020, 卷号: 26, 期号: 11, 页码: 5737-5746
作者:
Wang, Zhao
;
Liu, Chao
;
Shi, Gaofeng
;
Wang, Guoying
;
Zhang, Qi
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/11/14
Capacitance
Carbon nanofibers
Cobalt compounds
Current density
Electrodes
Electrolytes
Morphology
Sulfur compounds
Sulfur determination
Supercapacitor
Capacitance retention
Charge/discharge cycle
Cycling performance
Discharging process
Enhanced stability
Number of electrons
One-dimensional morphologies
Specific capacitance
Gold catalysts containing interstitial carbon atoms boost hydrogenation activity
期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 9
作者:
Sun, Yafei
;
Cao, Yueqiang
;
Wang, Lili
;
Mu, Xiaotong
;
Zhao, Qingfei
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/15
Seasonal variation characteristics of hydroxyl radical pollution and its potential formation mechanism during the daytime in Lanzhou
期刊论文
Journal of Environmental Sciences (China), 2020, 卷号: 95, 页码: 58-64
作者:
Wang, Guoying
;
Jia, Shiming
;
Li, Ruihong
;
Ma, Shangrong
;
Chen, Xuefu
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  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Air pollution control
Atmospheric chemistry
Atmospheric humidity
Free radicals
Nitrogen oxides
Ozone
Particles (particulate matter)
Volatile organic compounds
Fine particulate matter
Fine particulate matter (PM2.5)
Formation mechanism
Hydroxyl free radicals
Ozone concentration
Rate determining step
Regeneration pathway
Seasonal variation
Individualized psychiatric imaging based on inter -subject neural synchronization in movie watching
期刊论文
NEUROIMAGE, 2020, 卷号: 216, 页码: 9
作者:
Yang, Zhi
;
Wu, Jinfeng
;
Xu, Lihua
;
Deng, Zhengzheng
;
Tang, Yingying
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  |  
浏览/下载:44/0
  |  
提交时间:2020/08/03
Fe2O3/hemp straw-based porous carbon composite for supercapacitor electrode materials
期刊论文
Ionics, 2020, 卷号: 26, 期号: 8, 页码: 4039-4051
作者:
Jiang, Xia
;
Shi, Gaofeng
;
Wang, Guoying
;
Mishra, Puranjan
;
Du, Jianwen
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/11/14
Activated carbon
Capacitance
Carbon carbon composites
Electrolytes
Hematite
Hemp
Porous materials
Supercapacitor
Capacitance values
Capacity retention
Carbon nanocomposite
Electrochemical performance
Hydrothermal methods
Specific capacitance
Supercapacitor electrodes
Three electrode-system
Electrospinning Preparation of Fe3O4/Porous Carbon Nanofibres for use as Supercapacitor Electrode Materials
期刊论文
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2020, 卷号: 15, 期号: 5, 页码: 4602-4618
作者:
Jiang, Xia
;
Shi, Gaofeng
;
Wang, Guoying
;
Mishra, Puranjan
;
Wang, Zhao
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  |  
浏览/下载:6/0
  |  
提交时间:2022/03/01
iron oxide
carbon nanofibers
pore structure
liquefied carbon
supercapacitors
Deep Self-Evolution Clustering
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:
Chang, Jianlong
;
Meng, Gaofeng
;
Wang, Lingfeng
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/06/02
Task analysis
Unsupervised learning
Training
Clustering methods
Pattern analysis
Clustering
deep self-evolution clustering
self-evolution clustering training
deep unsupervised learning
Structural basis of ligand recognition and self-activation of orphan GPR52
期刊论文
NATURE, 2020, 页码: 21
作者:
Lin, Xi
;
Li, Mingyue
;
Wang, Niandong
;
Wu, Yiran
;
Luo, Zhipu
收藏
  |  
浏览/下载:163/0
  |  
提交时间:2020/07/01
Preparation and electrochemical properties of electrospun FeS/carbon nanofiber composites
期刊论文
IONICS, 2020, 卷号: 26, 期号: 6, 页码: 3051-3060
作者:
Wang, Zhao
;
Liu, Chao
;
Shi, Gaofeng
;
Wang, Guoying
;
Zhang, Hongquan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/06/02
FeS-CNF nanocomposite
Electrospinning
Supercapacitors
Electrochemical performance
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