中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
广州能源研究所 [7]
地理科学与资源研究所 [4]
金属研究所 [3]
成都山地灾害与环境研... [1]
宁波材料技术与工程研... [1]
水生生物研究所 [1]
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OAI收割 [20]
内容类型
期刊论文 [20]
发表日期
2020 [20]
学科主题
Neuroscien... [1]
Psychiatry [1]
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发表日期:2020
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A quasi-direct numerical simulation solver for compressible reacting flows
期刊论文
OAI收割
COMPUTERS & FLUIDS, 2020, 卷号: 213, 页码: 11
作者:
Li, Tao
;
Pan, Jiaying
;
Kong, Fanfu
;
Xu, Baopeng
;
Wang, Xiaohan
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/10/25
q-DNS
Compressible reacting flows
OpenFOAM (R)
Chemical diffusion
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Yang, Ting
;
Li, Jing
;
Peng, Jinbang
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/03/15
Unmanned aerial vehicle (UAV)
Hyperspectral
Chlorophyll
Machine learning
Precision agriculture
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Yang, Ting
;
Li, Jing
;
Peng, Jinbang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/15
Unmanned aerial vehicle (UAV)
Hyperspectral
Chlorophyll
Machine learning
Precision agriculture
A candidate PpRPH gene of the D locus controlling fruit acidity in peach
期刊论文
OAI收割
PLANT MOLECULAR BIOLOGY, 2020, 页码: 12
作者:
Wang, Lu
;
Jiang, Xiaohan
;
Zhao, Li
;
Wang, Furong
;
Liu, Yudi
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/10/04
Prunus persica
Fruit acidity
Linkage mapping
Organic acids
Small protein
Study onCO(2)gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter psi in random pore model
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 页码: 14
作者:
Song, Qianshi
;
Wang, Xiaohan
;
Gu, Chunhan
;
Li, Haowen
;
Huo, Jiepeng
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/10/22
biomass char
CO(2)gasification
pore structure
random pore model
structural parameter
A comprehensive model of biomass char-CO2 gasification reactivity with inorganic element catalysis in the kinetic control zone based on TGA analysis
期刊论文
OAI收割
CHEMICAL ENGINEERING JOURNAL, 2020, 卷号: 398, 页码: 10
作者:
Song, Qianshi
;
Wang, Xiaohan
;
Gu, Chunhan
;
Wang, Ning
;
Li, Haowen
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/10/30
Biomass char
Reactivity
Modelling
Inorganic elements
CO2 gasification
Highly Efficient Conversion of Xylose to Furfural in a Water-MIBK System Catalyzed by Magnetic Carbon-Based Solid Acid
期刊论文
OAI收割
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 卷号: 59, 期号: 39, 页码: 17046-17056
作者:
Qi, Zhiqiang
;
Wang, Qiong
;
Liang, Cuiyi
;
Yue, Jun
;
Liu, Shuna
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/10/22
A skeletal n-butane mechanism with integrated simplification method
期刊论文
OAI收割
JOURNAL OF THE ENERGY INSTITUTE, 2020, 卷号: 93, 期号: 4, 页码: 1559-1570
作者:
Li, Fan
;
Yang, Haolin
;
Jiang, Liqiao
;
Huo, Jiepeng
;
Wang, Xiaohan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/10/30
n-Butane fuel
Skeletal mechanism
Directed relation graph method
Reaction path analysis
Sensitivity analysis
The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21
作者:
Lei, Guangbin
;
Li, Ainong
;
Zhang, Zhengjian
;
Bian, Jinhu
;
Hu, Guyue
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/07/09
grazing intensity
space-air-ground integrated monitoring
unmanned aerial vehicle (UAV)
trajectory data
animal husbandry
remote sensing
The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21
作者:
Lei, Guangbin
;
Li, Ainong
;
Zhang, Zhengjian
;
Bian, Jinhu
;
Hu, Guyue
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/08/18
grazing intensity
space-air-ground integrated monitoring
unmanned aerial vehicle (UAV)
trajectory data
animal husbandry
remote sensing