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
广州地球化学研究所 [89]
深圳先进技术研究院 [8]
上海光学精密机械研究... [7]
地理科学与资源研究所 [6]
力学研究所 [5]
合肥物质科学研究院 [4]
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OAI收割 [142]
内容类型
期刊论文 [136]
会议论文 [6]
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2025 [2]
2024 [21]
2023 [13]
2022 [11]
2021 [12]
2020 [4]
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Engineerin... [1]
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Enrichment and fractionation of rare earth elements (REEs) in ion-adsorption-type REE deposits: Constraints of an iron (hydr)oxide-clay mineral composite
期刊论文
OAI收割
AMERICAN MINERALOGIST, 2025, 卷号: 110, 期号: 1, 页码: 114-135
作者:
Liang, Xiaoliang
;
Wu, Puqiu
;
Wei, Gaoling
;
Yang, Yiping
;
Ji, Shichao
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2025/04/03
Ion-adsorption-type REE deposit
clay minerals
Fe (hydr)oxides
adsorption
fractionation
weathering
Industrial-scale sustainable rare earth mining enabled by electrokinetics
期刊论文
OAI收割
NATURE SUSTAINABILITY, 2025, 页码: 11
作者:
Wang, Gaofeng
;
Zhu, Jianxi
;
Liang, Xiaoliang
;
Ling BW(凌博闻)
;
Xu, Jie
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2025/02/17
π-HuB: the proteomic navigator of the human body
期刊论文
OAI收割
NATURE, 2024, 卷号: 636, 期号: 8042, 页码: 322-331
作者:
He, Fuchu
;
Aebersold, Ruedi
;
Baker, Mark S.
;
Bian, Xiuwu
;
Bo, Xiaochen
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2025/04/01
Recovery of rare earth elements from ion-adsorption deposits using electro kinetic technology: A comparative study on leaching agents
期刊论文
OAI收割
CHEMICAL ENGINEERING JOURNAL, 2024, 卷号: 499, 页码: 12
作者:
Xu, Yongjin
;
Wang, Gaofeng
;
Xu, Jie
;
Kang, Shichang
;
Zhu, Jianxi
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2025/04/01
Rare earth elements
Ion-adsorption rare earth deposits
Electrokinetic mining, Sustainability
Leaching agent
Leaching agent
Modified spectrophotometry for micromolar H
2
O
2
determination in iron-containing solutions with leuco crystal violet under both aerobic and anaerobic conditions
期刊论文
OAI收割
ANALYTICAL METHODS, 2024, 页码: 8
作者:
He, Zhaolu
;
Xian, Haiyang
;
Xu, Liang
;
Zhu, Jianxi
;
Lin, Mang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/04/01
Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment
期刊论文
OAI收割
GEO-SPATIAL INFORMATION SCIENCE, 2024, 卷号: N/A
作者:
Wang, Shu
;
Qiu, Peiyuan
;
Zhu, Yunqiang
;
Yang, Jie
;
Peng, Peng
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2024/10/21
Geographic Knowledge Graph (GeoKG)
Quality Assessment
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
assessment indicators
metrics
quality evaluation
Geospatial Artificial Intelligence (GeoAI)
Indigenous microbial influence on REE enrichment and fractionation in South China weathering crusts: Insights from experimental simulations
期刊论文
OAI收割
CHEMICAL GEOLOGY, 2024, 卷号: 663, 页码: 8
作者:
Li, Xurui
;
Ma, Lingya
;
He, Yilin
;
Liang, Xiaoliang
;
Zhu, Jianxi
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2025/04/01
Rare earth element
Indigenous microorganism
Biosorption
REE fractionation
Resistant rare earth phosphates as possible sources of environmental dissolved rare earth elements: Insights from experimental bio-weathering of xenotime and monazite
期刊论文
OAI收割
CHEMICAL GEOLOGY, 2024, 卷号: 661, 页码: 13
作者:
He, Yilin
;
Ma, Lingya
;
Liang, Xiaoliang
;
Li, Xurui
;
Zhu, Jianxi
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/09/13
Bio-weathering
Bacillus thuringiensis
Rare earth elements
Xenotime-(Y)
Monazite-(Ce)
Phosphate
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/10/08
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/08/14
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features