2007
DOI: 10.3103/s1062873807020074
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of the adsorption capacity of carbon nanofibers with the use of distribution functions

Abstract: The sorption properties of carbon nanosystems are investigated using appropriate distribution functions. The adsorption capacities of carbon nanofibers for hydrogen are calculated in the singlet approximation under the assumption that adsorbent molecules elastically interact with walls. The optimum interplanar distances determined for carbon nanofibers are as follows: 0.39 ± 0.07 nm for the reduced density n 0 = 0.15 and 0.46 ± 0.04 nm for the reduced density n 0 = 0.3 .

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2009
2009
2009
2009

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…As a result, the second equation is reduced to the OZ relation for the volume liquid. In this case, the direct correlation functions depending parametrically on the average density can be calculated with allowance for the surface geometry [9,11].…”
Section: Methods Of Molecular Distribution Functionsmentioning
confidence: 99%
See 2 more Smart Citations
“…As a result, the second equation is reduced to the OZ relation for the volume liquid. In this case, the direct correlation functions depending parametrically on the average density can be calculated with allowance for the surface geometry [9,11].…”
Section: Methods Of Molecular Distribution Functionsmentioning
confidence: 99%
“…This system was described statistically in [12]. For H ≈ σ, the condition of thermodynamic limit is not satisfied, and another calculation procedure must be used [13]. In this case, the effect of the surface can be calculated using the limiting transition to the volume liquid or two-dimensional film on the surface.…”
Section: Methods Of Molecular Distribution Functionsmentioning
confidence: 99%
See 1 more Smart Citation