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June 3, 2026Nano Letters1 citationsOpen Access

A Computationally Efficient and Accurate Method for Predicting Conductance of Single-Molecule Junctions

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AGArtem GulyaevJHJayanta HazarikaZLZhen-Fei Liu

Key Points

  • The aim is to develop a more accurate and computationally efficient method for predicting the conductance of metal-molecule-metal junctions.
  • Introduced a method fitting PBE-calculated transmission to a Breit-Wigner form.
  • Refined fit parameters using molecular orbital energies and metal densities of states from high-rung functionals.
  • Applicable to a broad range of molecular junctions for routine predictions.
  • Conductance values align quantitatively with experimental results.
  • Achieved accuracy using a low-cost computational approach.
  • Promotes feasibility for large-scale applications in molecular junction conductance predictions.

Abstract

Despite significant progress in the field of molecular electronics over the last two decades, the quantitative prediction of metal-molecule-metal junction conductance remains a challenge. The standard computational framework combines density functional theory (DFT) with nonequilibrium Green's functions (NEGF) using low-rung exchange-correlation functionals such as PBE, which overestimate the conductances. More advanced correction methods exist but require complex workflows and high computational cost, limiting their accessibility. Here, we introduce a physically motivated approach that approximates results obtained with high-rung functionals. Our method fits the PBE-calculated transmission to a Breit-Wigner form and subsequently refines the fit parameters using molecular orbital energies and metal densities of states computed for the isolated subsystems with high-rung functionals. This approach is applicable to a broad range of molecular junctions yielding conductance values in quantitative agreement with experiments. Our approach is simple, low-cost, and accurate, making it well-suited for routine and large-scale prediction of single-molecule junction conductance.

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Cite This Study

Gulyaev et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc550dee9eb8c0dce6c11https://doi.org/10.1021/acs.nanolett.6c01462
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