The adsorption of Li ions on boron doped graphene was investigated using a first-principles method. Our results show that, as boron doping turns graphene into an electron-deficient system, more Li ions can be captured around boron doped centers than in pristine graphene. One boron atom doped into graphene (6C ring unit) can adsorb six Li ions, which indicates that boron doped graphene is an efficient Li-ion storage material for lithium batteries. Further investigations show that, under limited conditions, boron doped graphene (BC5) can form Li6BC5 compound after Li-ion adsorption, corresponding to a lithium storage capacity of 2271 mAh/g which is six times that of graphit
We investigate the effect of nitrogen and boron doping on Li diffusion through defected graphene usi...
Graphdiyne (GD) is a new carbon allotrope, consisting of an sp- and sp -hybridized carbon network. I...
We have investigated the adsorption of Li on graphene oxide using density functional theory. We show...
Nanomaterials are anticipated to be promising storage media, owing to their high surface-to-mass rat...
Based on first-principles plane wave calculations, it has been shown that boron-substituted graphene...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
To evaluate the possible utility of single layer graphene for applications in Li ion batteries, an e...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
We present results of density functional theory calculations on the lithium (Li) ion storage capacit...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
We performed first-principles calculations to reveal the possibility of applying pristine, defective...
Potassium-ion batteries (KIBs), as alternatives to lithium-ion batteries (LIBs), have attracted incr...
We performed first-principles calculations to reveal the possibility of applying pristine, defective...
Density function theory calculations were carried out to clarify storage states of Lithium (Li) ions...
Graphene is thought to be a promising material for many applications. However, pristine graphene is ...
We investigate the effect of nitrogen and boron doping on Li diffusion through defected graphene usi...
Graphdiyne (GD) is a new carbon allotrope, consisting of an sp- and sp -hybridized carbon network. I...
We have investigated the adsorption of Li on graphene oxide using density functional theory. We show...
Nanomaterials are anticipated to be promising storage media, owing to their high surface-to-mass rat...
Based on first-principles plane wave calculations, it has been shown that boron-substituted graphene...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
To evaluate the possible utility of single layer graphene for applications in Li ion batteries, an e...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
We present results of density functional theory calculations on the lithium (Li) ion storage capacit...
The characteristics of hydrogen adsorption on Li metal atoms dispersed on graphene with boron substi...
We performed first-principles calculations to reveal the possibility of applying pristine, defective...
Potassium-ion batteries (KIBs), as alternatives to lithium-ion batteries (LIBs), have attracted incr...
We performed first-principles calculations to reveal the possibility of applying pristine, defective...
Density function theory calculations were carried out to clarify storage states of Lithium (Li) ions...
Graphene is thought to be a promising material for many applications. However, pristine graphene is ...
We investigate the effect of nitrogen and boron doping on Li diffusion through defected graphene usi...
Graphdiyne (GD) is a new carbon allotrope, consisting of an sp- and sp -hybridized carbon network. I...
We have investigated the adsorption of Li on graphene oxide using density functional theory. We show...