Institution
Shanghai University
Education•Shanghai, Shanghai, China•
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Catalysis. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.
Topics: Microstructure, Catalysis, Computer science, Nonlinear system, Graphene
Papers published on a yearly basis
Papers
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TL;DR: Single boron atoms supported on graphene and substituted into h-MoS2 are identified as the most promising NRR catalysts, offering excellent energy efficiency and selectivity against hydrogen evolution reaction.
Abstract: Boron has been explored as p-block catalysts for nitrogen reduction reaction (NRR) by density functional theory. Unlike transition metals, on which the active centers need empty d orbitals to accept the lone-pair electrons of the nitrogen molecule, the sp3 hybrid orbital of the boron atom can form B-to-N π-back bonding. This results in the population of the N–N π* orbital and the concomitant decrease of the N–N bond order. We demonstrate that the catalytic activity of boron is highly correlated with the degree of charge transfer between the boron atom and the substrate. Among the 21 concept-catalysts, single boron atoms supported on graphene and substituted into h-MoS2 are identified as the most promising NRR catalysts, offering excellent energy efficiency and selectivity against hydrogen evolution reaction.
444 citations
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TL;DR: For every clever method and tool being developed to hide information in multimedia data, an equal number of clever methods and tools areBeing developed to detect and reveal its secrets.
Abstract: For every clever method and tool being developed to hide information in multimedia data, an equal number of clever methods and tools are being developed to detect and reveal its secrets.
444 citations
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441 citations
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TL;DR: In this paper, the comparative catalytic activity and coke resistance of Ni/CeO2 nanorods (NR) and nanopolyhedra (NP) were examined in carbon dioxide reforming of methane over Ni/NiO2-NR catalysts and showed that the predominantly exposed planes are the unusually reactive {110 and {100} planes on the CeO2−NR rather than the stable {111} one on the NiO2•NP.
Abstract: The comparative catalytic activity and coke resistance are examined in carbon dioxide reforming of methane over Ni/CeO2 nanorods (NR) and nanopolyhedra (NP). The Ni/CeO2–NR catalysts display more excellent catalytic activity and higher coke resistance compared with the Ni/CeO2–NP. The high resolution transmission electron microscope reveals that the predominantly exposed planes are the unusually reactive {110} and {100} planes on the CeO2–NR rather than the stable {111} one on the CeO2–NP. The prepared samples were also characterized by X-ray diffraction, transmission electron microscopy, hydrogen temperature-programmed reduction, X-ray photoelectron spectroscopy, UV and visible Raman spectra, and oxygen temperature-programmed oxidation. The {110} and {100} planes show great superiority for the anchoring of Ni nanoparticles, which results in the existence of strong metal–support interaction effect (SMSI). The SMSI effect can be helpful to prevent sintering of Ni particles, which benefits to reduce the dea...
440 citations
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TL;DR: A fluorescence sensor for Ag(I) ions is developed based on the target-induced conformational change of a silver-specific cytosine-rich oligonucleotide (SSO) and the interactions between the fluorogenic SSO probe and graphene oxide.
439 citations
Authors
Showing all 59993 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Yang Yang | 171 | 2644 | 153049 |
Yang Liu | 129 | 2506 | 122380 |
Zhen Li | 127 | 1712 | 71351 |
Xin Wang | 121 | 1503 | 64930 |
Jian Liu | 117 | 2090 | 73156 |
Xin Li | 114 | 2778 | 71389 |
Wei Zhang | 112 | 1189 | 93641 |
Jianjun Liu | 112 | 1040 | 71032 |
Liquan Chen | 111 | 689 | 44229 |
Jin-Quan Yu | 111 | 438 | 43324 |
Jonathan L. Sessler | 111 | 997 | 48758 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Wei Zhang | 104 | 2911 | 64923 |