中国科学院机构知识库网格系统: 检索

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	Prospects for detecting the diffuse supernova neutrino background with JUNO 期刊论文 OAI收割 JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2022, 期号: 10 作者: Abusleme, A; Adam, T; Ahmad, S; Ahmed, R; Aiello, S \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2023/03/27 neutrino astronomy neutrino detectors supernova neutrinos diffuse supernova neutrino background
	Large Isospin Asymmetry in Si-22/O-22 Mirror Gamow-Teller Transitions Reveals the Halo Structure of Al-22 期刊论文 OAI收割 PHYSICAL REVIEW LETTERS, 2020, 卷号: 125, 期号: 19, 页码: - 作者: Lee, J; Xu, XX; Kaneko, K; Sun, Y; Lin, CJ \| 收藏 \| 浏览/下载：66/0 \| 提交时间：2021/09/06 BETA-DECAY SYMMETRY BREAKING LINE
	Utilizing ion leaching effects for achieving high oxygen-evolving performance on hybrid nanocomposite with self-optimized behaviors 期刊论文 OAI收割 NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: - 作者: Guan, DQ; Ryu, H; Hu, ZW; Zhou, J; Dong, CL \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/09/06 EVOLUTION REACTION METAL-OXIDES SPIN-STATE ELECTROCATALYSTS RECONSTRUCTION PEROVSKITES CATALYSIS
	Searching General Sufficient-and-Necessary Conditions for Ultrafast Hydrogen-Evolving Electrocatalysis 期刊论文 OAI收割 ADVANCED FUNCTIONAL MATERIALS, 2019, 卷号: 29, 期号: 20, 页码: — 作者: Guan, DQ; Zhou, J; Hu, ZW; Zhou, W; Xu, XM \| 收藏 \| 浏览/下载：63/0 \| 提交时间：2019/12/30 OXYGEN EVOLUTION EFFICIENT PEROVSKITES STATE MOS2
	PandaX-II constraints on spin-dependent WIMP-nucleon effective interactions 期刊论文 OAI收割 PHYSICS LETTERS B, 2019, 卷号: 792, 期号: -, 页码: 193—198 作者: Xia, JK; Abdukerim, A; Chen, W; Chen, X; Chen, YH \| 收藏 \| 浏览/下载：98/0 \| 提交时间：2019/12/30 DARK-MATTER
	Dark matter direct search sensitivity of the PandaX-4T experiment 期刊论文 OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2019, 卷号: 62, 期号: 3, 页码: — 作者: Zhang, HG; Abdukerim, A; Chen, W; Chen, X; Chen, YH \| 收藏 \| 浏览/下载：88/0 \| 提交时间：2019/12/30
	Modelling of rainfall partitioning by a deciduous shrub using a variable parameters Gash model 期刊论文 OAI收割 ECOHYDROLOGY, 2018, 卷号: 11, 期号: 7, 页码: UNSP e2011 作者: \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2018/11/20 Deciduous Shrub Gash Model Rainfall Partitioning Variable Parameters