中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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兰州化学物理研究所 [64]
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物理化学 [18]
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SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTERS, 2026, 卷号: 75, 期号: 3, 页码: 916-927
作者:
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收藏
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浏览/下载:1/0
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提交时间:2026/05/25
Quantum state
Qubit
Training
Runtime
Optimization
Encoding
Iterative methods
Vectors
Quantum circuit
Quantum algorithm
Quantum state preparation
performance optimization
A Rapid, High-Throughput Method for the Construction of Mutagenesis Libraries
期刊论文
OAI收割
BIOMOLECULES, 2025, 卷号: 15, 期号: 11, 页码: 18
作者:
Lu, Yuxin
;
Meng, Shuting
;
Guan, Xinyi
;
He, Pengying
;
Zhao, Dongxin
  |  
收藏
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浏览/下载:0/0
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提交时间:2026/01/28
high-throughput
library preparation
sequencing
normalization
oligo-directed mutagenesis
Systematic review on the full-process preparation, characterization and application of drug-loaded melanin nanoparticles
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2025, 卷号: 319, 页码: 14
作者:
Cheng, Xinrong
;
Liang, Bicheng
;
Li, Guantian
;
Yang, Haoyue
;
Wang, Zongji
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/09/26
Melanin
Nanoparticle preparation
Drug delivery
Intelligent determination of proper spatial extents for input data during geographical model workflow building
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 187, 页码: 106369
作者:
Chen, Zi-Yue
;
Qin, Cheng-Zhi
;
Zhu, Liang-Jun
;
Wu, Cheng-Long
;
Ren, Ying-Chao
  |  
收藏
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浏览/下载:62/0
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提交时间:2025/04/21
Intelligent geographical modeling
Input data preparation
Spatial extent
Geographical model workflow
Geoprocessing
Quantitative detection of tapered fiber SERS probes prepared in batches by electrostatic adsorption self-assembly method
期刊论文
OAI收割
MEASUREMENT, 2025, 卷号: 239
作者:
Huang, Ruidong
;
Liu, Xiaobing
;
Mao, Yingqiu
;
Qian, Cheng
;
Qin, Yanyan
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2024/11/20
Batch preparation
Interchangeability
Quantitative detection
Spectral data assimilation
Surface-enhanced Raman scattering
Tapered fiber probe
The metal- and covalent-organic frameworks-based molecularly imprinted polymer composites for sample pretreatment
期刊论文
OAI收割
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2024, 卷号: 178, 页码: 20
作者:
Wen, Yuhao
;
Sun, Dani
;
Li, Jinhua
;
Ostovan, Abbas
;
Wang, Xiaoyan
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收藏
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浏览/下载:69/0
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提交时间:2024/10/24
Molecularly imprinted polymers (MIPs)
Metal -organic frameworks (MOFs)
Covalent -organic frameworks (COFs)
Composite materials
Molecular recognition characteristics
Sample pretreatment
Sample preparation
Progress in culture technology and active substance research on
Nostoc sphaeroides
Kützing
期刊论文
OAI收割
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2024, 页码: 14
作者:
Li, Fengcheng
;
Liu, Runze
;
Qin, Song
;
Deng, Zhongyang
;
Li, Wenjun
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收藏
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浏览/下载:58/0
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提交时间:2024/10/24
Nostoc sphaeroides K & uuml
culture technique
active substances
pharmacological effects
extraction
preparation
tzing
Research progress of biochar modification technology and its application in environmental remediation
期刊论文
OAI收割
BIOMASS & BIOENERGY, 2024, 卷号: 184, 页码: 13
作者:
Lan, Weijuan
;
Zhao, Xinxin
;
Wang, Yingxian
;
Jin, Xin
;
Ji, Jiangtao
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2025/11/17
Biomass
Biochar
Preparation methods
Modification technology
Environmental remediation
Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review
期刊论文
OAI收割
PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 189, 页码: 22
作者:
Ning, Zenglei
;
Zhao, Xia
;
Fan, Liang
;
Peng, Zhongbo
;
Ma, Fubin
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收藏
  |  
浏览/下载:71/0
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提交时间:2024/06/04
Artificial neural networks
Formulation design
Preparation process
micro defects
Service life
Low cost and eco-friendly form stable phase change material based on fly ash-expanded graphite binary supporting materials for large-scale application
期刊论文
OAI收割
JOURNAL OF ENERGY STORAGE, 2023, 卷号: 73, 页码: 11
作者:
Liu, Peng
;
Cui, Xinglan
;
Gu, Xiaobin
;
Li, Jinhong
;
Li, Yan
  |  
收藏
  |  
浏览/下载:17/0
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提交时间:2025/11/15
Low cost facile preparation process
Raw fly ash
Expanded graphite
Binary supporting materials
High performance phase change material
Thermal energy storage