中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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金属研究所 [4]
上海应用物理研究所 [2]
自动化研究所 [2]
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地质与地球物理研究所 [1]
数学与系统科学研究院 [1]
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OAI收割 [13]
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期刊论文 [12]
学位论文 [1]
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2020 [2]
2019 [4]
2011 [1]
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Hydrogen-based direct reduction of iron oxide at 700 degrees C: Heterogeneity at pellet and microstructure scales
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2022, 卷号: 29, 期号: 10, 页码: 1901-1907
作者:
Ma, Yan
;
Souza Filho, Isnaldi R.
;
Zhang, Xue
;
Nandy, Supriya
;
Barriobero-Vila, Pere
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2022/09/16
hydrogen-based direct reduction
iron oxide
microstructure
spatial gradient
metallization
Fabrication of MnCuNiFe-CuAlNiFeMn Gradient Alloy by Laser Engineering Net Shaping System
期刊论文
OAI收割
MATERIALS, 2022, 卷号: 15, 期号: 6, 页码: 12
作者:
Yan, Kuo
;
Lin, Zaiwen
;
Chen, Meng
;
Wang, Yuren
;
Wang, Jun
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2022/05/17
propeller noise reduction
gradient alloys
damping alloys
additive manufacturing
3D printing
Insight into Hydrogenation Selectivity of the Electrocatalytic Nitrate-to-Ammonia Reduction Reaction via Enhancing the Proton Transport
期刊论文
OAI收割
CHEMSUSCHEM, 2022, 页码: 7
作者:
Xu, Yan-Tong
;
Peng, Zhigang
;
Han, Ying
;
Zhong, Huiqiong
;
Yang, Jun
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/11/20
ammonia synthesis
electrocatalysis
hydrogenation
nitrate reduction
pH gradient
Electrocatalytic reduction of CO2 to ethylene and ethanol through hydrogen-assisted C-C coupling over fluorine-modified copper
期刊论文
OAI收割
NATURE CATALYSIS, 2020, 卷号: 3, 期号: 6, 页码: 478-487
作者:
Ma, WC
;
Xie, SJ
;
Liu, TT
;
Fan, QY
;
Ye, JY
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/09/06
GENERALIZED GRADIENT APPROXIMATION
CARBON-DIOXIDE
ELECTROCHEMICAL REDUCTION
CATALYTIC-HYDROGENATION
ENERGY CALCULATIONS
ELECTROLYTE DESIGN
OXIDATION-STATE
ELECTROREDUCTION
VALORIZATION
SELECTIVITY
Reshaping of Rh nanoparticles in operando conditions
期刊论文
OAI收割
CATALYSIS TODAY, 2020, 卷号: 350, 页码: 184-191
作者:
Yuan, LN
;
Li, XY
;
Zhu, BE
;
Zhang, GL
;
Gao, Y
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/09/06
GENERALIZED GRADIENT APPROXIMATION
TOTAL-ENERGY CALCULATIONS
IN-SITU TEM
SHAPE EVOLUTION
CO
DISSOCIATION
ADSORPTION
REDUCTION
HYDROGEN
SURFACE
Modified reduction to the pole using the estimated total magnetisation direction and variable geomagnetic inclination: application to the Sichuan Basin
期刊论文
OAI收割
EXPLORATION GEOPHYSICS, 2019, 页码: 15
作者:
Liu, Kang
;
Hao, Tianyao
;
Wen, Baihong
;
Yang, Hui
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2019/12/04
Magnetisation directions
remanent magnetisation
total magnetisation
differential reduction to the pole
gradient
cross-correlation
Stochastic proximal quasi-Newton methods for non-convex composite optimization
期刊论文
OAI收割
OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 5, 页码: 922-948
作者:
Wang, Xiaoyu
;
Wang, Xiao
;
Yuan, Ya-xiang
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收藏
  |  
浏览/下载:72/0
  |  
提交时间:2020/01/10
Non-convex composite optimization
Polyak-Lojasiewicz (PL) inequality
stochastic gradient
stochastic variance reduction gradient
symmetric rank one method
rank one proximity operator
complexity bound
Stochastic Conjugate Gradient Algorithm With Variance Reduction
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
作者:
Jin, Xiao-Bo
;
Zhang, Xu-Yao
;
Huang, Kaizhu
  |  
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2019/07/11
Computational efficiency
covariance reduction
empirical risk minimization (ERM)
linear convergence
stochastic conjugate gradient (CG)
The role of water-water cycle in regulating the redox state of photosystem I under fluctuating light
期刊论文
OAI收割
BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2019, 卷号: 1860, 期号: 51, 页码: 383-390
作者:
Huang, Wei
;
Yang, Ying-Jie
;
Zhang, Shi-Bao
  |  
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2019/06/24
Fluctuating light
O-2 photo-reduction
Photoinhibition
Photosystem I
Proton gradient
Redox state of P700
排序学习相关问题的研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:
孙正雅
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2015/09/02
排序学习
位置敏感评价
约简方法
稀疏学习
泛函梯度下降
Learn to Rank
Position-Sensitive Measures
Reduction Approach
Sparse Learning
Functional Gradient Descent