Journal
NANO LETTERS
Volume 12, Issue 5, Pages 2243-2248Publisher
AMER CHEMICAL SOC
DOI: 10.1021/nl204379j
Keywords
Electron transport; conductance histogram; cooperative effects; transport mechanisms; statistical analysis
Categories
Funding
- Department of Energy (DOE) at Northwestern University [DE-FG02-97ER25308, DE-SC0001785]
- U.S. DOE [DE-AC05-00OR22725]
- NSF [DMR-1121262]
- MRSEC [DMR-0520513]
- Oak Ridge National Laboratory
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [1121262] Funding Source: National Science Foundation
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [1012207] Funding Source: National Science Foundation
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We present a computational investigation into the line shapes of peaks in conductance histograms, finding that they possess high information content. In particular, the histogram peak associated with conduction through a single molecule elucidates the electron transport mechanism and is generally well-described by beta distributions. A statistical analysis of the peak corresponding to conduction through two molecules reveals the presence of cooperative effects between the molecules and also provides insight into the underlying conduction channels. This work describes tools for extracting additional interpretations from experimental statistical data, helping us better understand electron transport processes.
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