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Yanli Li

Researcher at Fuzhou University

Publications -  7
Citations -  387

Yanli Li is an academic researcher from Fuzhou University. The author has contributed to research in topics: Catalysis & Copper. The author has an hindex of 4, co-authored 7 publications receiving 155 citations.

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Insight into the effect of morphology on catalytic performance of porous CeO2 nanocrystals for H2S selective oxidation

TL;DR: In this article, shape-specific CeO2 nanocrystals (rods, cubes, spheres and nanoparticles) with well-defined crystal facets and hierarchically porous structure were successfully synthesized and used as model catalysts to study the structure-dependent behavior and reaction mechanism for H2S selective oxidation over ceria-based catalysts.
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Highly Efficient Porous FexCe1–xO2−δ with Three-Dimensional Hierarchical Nanoflower Morphology for H2S-Selective Oxidation

TL;DR: In this paper, a facile citric acid catalysts for H2S-selective oxidation was proposed. But their practical application is limited due to the problem of sulfate formation.
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Construction of Fe-doped TiO2−x ultrathin nanosheets with rich oxygen vacancies for highly efficient oxidation of H2S

TL;DR: In this paper, a Fe-doped TiO2−x ultrathin nanosheet with abundant oxygen vacancies for H2S selective oxidation via a facile citric acid assisted hydrothermal process was reported.
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Promoting effect of Cu-doping on catalytic activity and SO2 resistance of porous CeO2 nanorods for H2S selective oxidation

TL;DR: A facile procedure for doping copper species into CeO2 lattices to prevent ceria from being deactivated and to offer additional active sites for selective H2S oxidation is reported in this article.
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What Is the Best Size of Subnanometer Copper Clustersfor CO 2 Conversion to Methanol at Cu/TiO 2 Interfaces?A Density Functional Theory Study

TL;DR: In this article, the activation and hydrogenation of CO2 at the Cu/TiO2 interfaces that are formed by depositing subnanometer Cun (n = 1-8) clusters on TiO2(110) surfaces have been systematically investigated using Cun(n) clusters.