journal article·2015-07-28

Quantitative Interpretations of Break Junction Conductance Histograms in Molecular Electron Transport

Robert Quan, Christopher S. Pitler, Mark A. Ratner, Matthew G. Reuter

ACS Nano· Volume 9· Issue 7
Publisher page

Abstract

We develop theoretical and computational tools for extracting quantitative molecular information from experimental conductance histograms for electron transport through single-molecule break junctions. These experimental setups always measure a combination of molecular conductance and direct electrode-electrode tunneling; our derivations explicitly incorporate the effects of such background tunneling. Validation of our models to simulated data shows that background tunneling is crucial for quantitative analyses (even in cases where it appears to be qualitatively negligible), and comparison to experimental data is favorable. Finally, we generalize these ideas to the case of molecules with a destructive interference feature and discuss potential signatures for interference in a conductance histogram.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Molecular Junctions and Nanostructures · Electrochemical Analysis and Applications · Force Microscopy Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Mathematics & Statistics and Institute for Advanced Computational Science, Stony Brook University, Stony Brook, New York 11794, United States

Funding

Air Force Office of Scientific Research

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