Cobalt doped JUC-160 derived functional carbon superstructures with synergetic catalyst effect for Li-SeS2 batteries
Autor: | Jizhao Zou, Hejun Li, Xierong Zeng, Qi Zhang, Saikumar Inguva, Guo-zhong Xu, Zeng Shaozhong, Wen-wu Jin |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Li-SeS2
Materials science Heteroatom chemistry.chemical_element Context (language use) 02 engineering and technology 010402 general chemistry 01 natural sciences Catalysis Self-assembled General Materials Science Dopant Carbonization Cobalt-doped General Chemistry ZIF Crystal-shape engineering 021001 nanoscience & nanotechnology Condensed Matter Physics 0104 chemical sciences chemistry Chemical engineering Mechanics of Materials 0210 nano-technology Carbon Cobalt Zeolitic imidazolate framework |
Popis: | The carbon nanostructures with polar metal/heteroatom co-doping are considered as an effective strategy to improve their electrochemical performances. In this context, the crystal-shape engineering is carried out. Based on a new ‘‘one for six’’ strategy, the JUC-160 having a two-dimensional (2D) zeolitic imidazolate framework is transformed into six different carbon materials. These materials do not need a carbon activation process or template removal process. Instead, after a simple carbonization, a series of metal/heteroatom co-doped carbon materials with novel structures are formed. To be highlighted, this work is the first report of using self-assembled carbon nanostructures/SeS2 composites as cathode materials in the field of Li-SeS2. Moreover, those carbon nanostructures can be effectively tailored by adjusting the method of cobalt doping and the amount of cobalt dopant. Because of the benefits from the novel structures and cobalt/nitrogen co-doping, the dissolution of poly-sulfides/selenides is reduced and a high content of SeS2 (73 wt%) is achieved. The optimized cathode displays an extraordinary cycle performance with a reversible capacity of 820.87 mA h g−1 after 100 cycles, and with reversible charge-discharge efficiency is close to 100%. |
Databáze: | OpenAIRE |
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