2015
DOI: 10.1155/2015/379563
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Topological and Energetic Conditions for Lithographic Production of Carbon Nanotubes from Graphene

Abstract: Density Functional Based Tight-Binding (DFTB) molecular dynamics (MD) simulations were performed for producing carbon nanotubes from graphene nanoribbons. The constant temperature simulations were controlled with the help of Nosé-Hoover thermostat. In our systematic study we obtained critical curvature energies and determined topological conditions for nanotube production from two parallel graphene nanoribbons. We obtained linear relationship between the curvature energy and the square of the curvature.

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Cited by 6 publications
(6 citation statements)
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“…In our previous publication [24,32] we have studied the self-organized formation of nanotubes from graphene ribbons in molecular dynamics simulation. The distance between the two initial ribbons was 0.35 nm.…”
Section: The Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…In our previous publication [24,32] we have studied the self-organized formation of nanotubes from graphene ribbons in molecular dynamics simulation. The distance between the two initial ribbons was 0.35 nm.…”
Section: The Methodsmentioning
confidence: 99%
“…In every case, we started from a model consisting of two parallel graphene ribbons [24]. The distance of the ribbons was equal to the equilibrium distance between the layers of the graphite crystals: 3.35 Å (in case of the zigzag models, containing the substrates as well, we deviated from this, this will be indicated in the right place).…”
Section: The Self-organizing Build-up Of a Y-junction From Parallmentioning
confidence: 99%
See 2 more Smart Citations
“…Growing carbon nanotubes from two, parallel graphene ribbons is far from being a trivial task. Although the possibility has already been demonstrated using molecular dynamics (MD) simulation [25][26], and later it has also been demonstrated by MD simulation that a defect-free nanotube structure can be formed only if the necessary topological and energetic conditions are met [36]. This article investigates the sensitivity of defect-free fusion of parallel graphene ribbons into straight carbon nanotubes depending on the position of the edges of zigzag graphene ribbons.…”
Section: Introductionmentioning
confidence: 99%