2010
DOI: 10.1103/physrevb.81.035409
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Electron transport through ribbonlike molecular wires calculated using density-functional theory and Green’s function formalism

Abstract: We study the length dependence of electron transport through three families of rigid, ribbonlike molecular wires. These series of molecules, known as polyacene dithiolates, polyphenanthrene dithiolates, and polyfluorene dithiolates, represent the ultimate graphene nanoribbons. We find that acenes are the most attractive candidates for low-resistance molecular-scale wires because the low-bias conductance of the fluorene-and phenanthrene-based families is shown to decrease exponentially with length, with inverse… Show more

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Cited by 17 publications
(19 citation statements)
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“…In the present context, we emphasize the results of Visontai et al [9] presented in their Figure 3. This shows the calculated values of the length dependence of the room temperature conductance, for the families (i) to (iii) cited above.…”
Section: Electronic Transport Through Families Of Ribbonlike Moleculasupporting
confidence: 52%
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“…In the present context, we emphasize the results of Visontai et al [9] presented in their Figure 3. This shows the calculated values of the length dependence of the room temperature conductance, for the families (i) to (iii) cited above.…”
Section: Electronic Transport Through Families Of Ribbonlike Moleculasupporting
confidence: 52%
“…As this article was nearing completion, an important theoretical article by Visontai et al [9] has appeared. It is the purpose of this penultimate section to summarize the main findings of these authors.…”
Section: Electronic Transport Through Families Of Ribbonlike Moleculamentioning
confidence: 94%
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“…Also, SMEAGOL's extensively parallel architecture facilitates large-scale simulation of electronically complex atomic and molecular systems. Systems to which it has been applied include parallel-plate capacitors, gold nanowires, molecular spin valves, Ni point contacts, H 2 molecules between platinum electrodes and carbon-based nanostructures [16,[25][26][27][28][29][30][31][32][33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%