2016
DOI: 10.1016/j.carbon.2016.07.005
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Electronic structures and quantum capacitance of monolayer and multilayer graphenes influenced by Al, B, N and P doping, and monovacancy: Theoretical study

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Cited by 109 publications
(59 citation statements)
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“…The question arises: How to increase the QC? A number of theoretical works demonstrate that an increase in the QC of carbon materials is possible by the adsorption of metal atoms and some nonmetals on their surface or by creating vacancy defects [15][16][17]. These theoretical results are confirmed by experimental works [18,19], which show that modified CNTs have a much larger capacity in comparison to pure CNTs.…”
Section: Introductionmentioning
confidence: 80%
“…The question arises: How to increase the QC? A number of theoretical works demonstrate that an increase in the QC of carbon materials is possible by the adsorption of metal atoms and some nonmetals on their surface or by creating vacancy defects [15][16][17]. These theoretical results are confirmed by experimental works [18,19], which show that modified CNTs have a much larger capacity in comparison to pure CNTs.…”
Section: Introductionmentioning
confidence: 80%
“…An effective strategy to construct novel electrode materials with high energy storage density has been illustrated by Li et al, 367 using N-doped graphene quantum dots for high-performance exible supercapacitors. Song et al 368 and many other researchers [369][370][371][372][373][374][375][376][377][378] investigated graphene oxide as a supercapacitor electrode material to study the quantum capacitance by means of DFT studies. These observations may shed light on developing new theoretical models based on DFT studies for the improvement of the energy density of carbon-based supercapacitors.…”
Section: Nanostructured Materials For Advanced Supercapacitorsmentioning
confidence: 99%
“…For example, graphene can produce C Q easily when used as the electrode material in EDLCs . When its structure is modified by heteroatom doping, the value of C Q can be enlarged significantly . Mousavi‐Khoshdel et al.…”
Section: Computational Investigation and Design Of 2 D Materialsmentioning
confidence: 99%