Signatures of cooperative effects and transport mechanisms in conductance histograms

Matthew G. Reuter, Mark C. Hersam, Tamar Seideman, Mark A. Ratner

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2243-2248
Number of pages6
JournalNano letters
Volume12
Issue number5
DOIs
Publication statusPublished - May 9 2012

Keywords

  • Electron transport
  • conductance histogram
  • cooperative effects
  • statistical analysis
  • transport mechanisms

ASJC Scopus subject areas

  • Bioengineering
  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanical Engineering

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