Site-Selective Doping Strategy of Carbon Anodes with Remarkable K-Ion Storage Capacity.
Emwas, Abdul-Hamid M.
Alshareef, Husam N.
KAUST DepartmentChemical Science Program
Functional Nanomaterials and Devices Research Group
KAUST Catalysis Center (KCC)
King Abdullah University of Science and Technology, Materials Science and Engineering, 23955-6900, Thuwal, SAUDI ARABIA.
Material Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant NumberURF/1/2980-01-01
Online Publication Date2020-01-29
Print Publication Date2020-03-09
Embargo End Date2021-01-17
Permanent link to this recordhttp://hdl.handle.net/10754/661079
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AbstractThe limited potassium-ion intercalation capacity of graphite hampers the development of potassium-ion batteries (PIB). Edge-nitrogen doping (pyrrolic and pyridinic) has been demonstrated as an effective approach to enhance K-ion storage in carbonaceous materials. One primary shortcoming of current methods is the lack of precise control over producing edge-nitrogen configuration. In this work, we present a molecular-scale copolymer pyrolysis strategy for precisely controlling edge-nitrogen doping in carbonaceous materials. Our optimized process results in defect-rich, edge-nitrogen doped carbons (ENDC) with a high nitrogen doping level up to 10.5 at. % and high edge-nitrogen ratio of 87.6%. The optimized ENDC exhibits a high reversible capacity of 423 mAh g-1, a high initial Cloulombic efficiency of 65%, superior rate capability, and long cycle life (93.8% retention after three months). This edge-nitrogen control strategy can be extended to design other edge-heteroatom rich carbons through pyrolysis of copolymers for efficient storage of various mobile ions.
CitationZhang, W., Cao, Z., Wang, W., Alhajji, E., Emwas, A.-H., Costa, P., … Alshareef, H. N. (2020). Site-Selective Doping Strategy of Carbon Anodes with Remarkable K-Ion Storage Capacity. Angewandte Chemie International Edition. doi:10.1002/anie.201913368
SponsorsThe research reported in this publication is supported by King Abdullah University of Science and Technology (KAUST) (URF/1/2980-01-01). The computational work was performed on KAUST supercomputers. The authors thank the Core Laboratories at KAUST for their excellent support.