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Self-assembled and well separated B and N co-doped hierarchical carbon structures as high-capacity, ultra-stable, LIB anode materials
- Source :
- Sustainable Energy & Fuels. 3:478-487
- Publication Year :
- 2019
- Publisher :
- Royal Society of Chemistry (RSC), 2019.
-
Abstract
- Herein, we present a simple synthesis strategy addressing two challenges of advantageous carbon anode design: (1) achieving self-assembled, i.e. “templateless”, porous hierarchical structures, with (2) well separated B and N co-doping. Heating tert-butylamine borane with two different forms of cobalt catalysts gives rise to either B and N co-doped carbon nanofiber networks (BN-CNN) or B and N co-doped graphene sheet networks (BN-GSN). Both materials form porous, hierarchical networks with advantageous, well separated, B and N co-doping (i.e. with high B–C, N–C or B–C–N content, and very low B–N content). The networks have large surface areas with abundant Li-ion storage sites, high electrical and ion conductivity, and good structural stability. Accordingly, B and N co-doped carbon nanofiber networks deliver an impressively high reversible capacity of 1017 mA h g−1 at 0.05 A g−1 and have ultrahigh long term cycling stability at the high current densities of 0.5 and 2 A g−1, where after 1000 and 2500 cycles, respectively, they deliver 629 and 480 mA h g−1. In addition, B and N co-doped carbon nanofiber networks have a lower average voltage (
- Subjects :
- Materials science
Renewable Energy, Sustainability and the Environment
Carbon nanofiber
Graphene
Energy Engineering and Power Technology
chemistry.chemical_element
02 engineering and technology
Borane
Conductivity
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
Anode
law.invention
chemistry.chemical_compound
Fuel Technology
chemistry
Chemical engineering
law
0210 nano-technology
Carbon
Cobalt
Faraday efficiency
Subjects
Details
- ISSN :
- 23984902
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Sustainable Energy & Fuels
- Accession number :
- edsair.doi...........84a24b67a1f02ac2f98c0319dce666e8