Nan Xu
Zhejiang University
19 Papers
Nan Xu is an academic researcher from Zhejiang University. The author has contributed to research in topics: Oxygen evolution & Chemistry. The author has an hindex of 9, co-authored 16 publications.
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Papers
Dopants fixation of Ruthenium for boosting acidic oxygen evolution stability and activity.
Shaoyun Hao,Min Liu,Junjie Pan,Xiangnan Liu,Xiaoli Tan,Nan Xu,Yi He,Lecheng Lei,Xingwang Zhang +8 more
TL;DR: Density functional theory calculations revealed co-doping of W and Er tuned electronic structure of RuO2 by charge redistribution, which significantly prohibited formation of soluble Rux>4 and lowered adsorption energies for oxygen intermediates.
Reversible Polycondensation-Termination Growth of Covalent-Organic-Framework Spheres, Fibers, and Films
Song Wang,Ziyang Zhang,Haomiao Zhang,Ananth Govind Rajan,Nan Xu,Yuhao Yang,Yuwen Zeng,Pingwei Liu,Xiaohu Zhang,Qiying Mao,Yi He,Junjie Zhao,Bo-Geng Li,Michael S. Strano,Wen-Jun Wang +14 more
- 04 Dec 2019
TL;DR: In this paper, a reversible polycondensation termination (RPT) approach was proposed to generate spherical, fibrous, and membranous COFs with highly ordered structures up to centimeter dimensions.
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Visualizing Lithium Dendrite Formation within Solid-State Electrolytes
Minghao Sun,Tiefeng Liu,Yifei Yuan,Min Ling,Nan Xu,Yanyan Liu,Lijing Yan,Hui Li,Liu Chengyong,Yingying Lu,Yao Shi,Yi He,Yongsheng Guo,Xinyong Tao,Chengdu Liang,Jun Lu +15 more
TL;DR: In this article, the failure of SSE to suppress dendrite formation in all-solid-state lithium metal batteries is discussed. But the failure is not discussed in detail.
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Tuning electronic correlations of ultra-small IrO2 nanoparticles with La and Pt for enhanced oxygen evolution performance and long-durable stability in acidic media
TL;DR: In this article, the ultra-small Pt, La co-doped IrO2 nanoparticles with average size of 2 1/2 nm highly dispersed on Ndoped carbon (NC) were designed for tuning electronic structure of electrocatalysts and altering potential limiting step of the oxygen evolution reaction.
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A Deep-Learning Potential for Crystalline and Amorphous Li–Si Alloys
TL;DR: In this article, the ability of the deep learning potential (DP) to describe structural, dynamic and energetic properties of Li-Si alloys was investigated, and it was shown that DNNs play an impo...
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