A computationally efficient and accurate method for predicting conductance of single-molecule junctions
Gulyaev A, Hazarika J, Liu Z-F, Venkataraman L. 2026. A computationally efficient and accurate method for predicting conductance of single-molecule junctions. Nano Letters. 26(22), 7429–7434.
Download
Journal Article
| Published
| English
Scopus indexed
Author
Corresponding author has ISTA affiliation
Department
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.
Publishing Year
Date Published
2026-06-01
Journal Title
Nano Letters
Publisher
American Chemical Society
Acknowledgement
This work was supported primarily by the Institute of Science and Technology Austria. L.V. was supported in part by the National Science Foundation (No. NSF-DMR 2241180). Z.-F.L. was supported by an NSF CAREER Award, No. DMR-2044552 and an Alfred P. Sloan Research Fellowship, No. FG-2024-21750.
Volume
26
Issue
22
Page
7429–7434
ISSN
eISSN
IST-REx-ID
Cite this
Gulyaev A, Hazarika J, Liu Z-F, Venkataraman L. A computationally efficient and accurate method for predicting conductance of single-molecule junctions. Nano Letters. 2026;26(22):7429–7434. doi:10.1021/acs.nanolett.6c01462
Gulyaev, A., Hazarika, J., Liu, Z.-F., & Venkataraman, L. (2026). A computationally efficient and accurate method for predicting conductance of single-molecule junctions. Nano Letters. American Chemical Society. https://doi.org/10.1021/acs.nanolett.6c01462
Gulyaev, Artem, Jyotisman Hazarika, Zhen-Fei Liu, and Latha Venkataraman. “A Computationally Efficient and Accurate Method for Predicting Conductance of Single-Molecule Junctions.” Nano Letters. American Chemical Society, 2026. https://doi.org/10.1021/acs.nanolett.6c01462.
A. Gulyaev, J. Hazarika, Z.-F. Liu, and L. Venkataraman, “A computationally efficient and accurate method for predicting conductance of single-molecule junctions,” Nano Letters, vol. 26, no. 22. American Chemical Society, pp. 7429–7434, 2026.
Gulyaev A, Hazarika J, Liu Z-F, Venkataraman L. 2026. A computationally efficient and accurate method for predicting conductance of single-molecule junctions. Nano Letters. 26(22), 7429–7434.
Gulyaev, Artem, et al. “A Computationally Efficient and Accurate Method for Predicting Conductance of Single-Molecule Junctions.” Nano Letters, vol. 26, no. 22, American Chemical Society, 2026, pp. 7429–7434, doi:10.1021/acs.nanolett.6c01462.
All files available under the following license(s):
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0):
Main File(s)
File Name
2026_NanoLetters_Gulyaev.pdf
3.36 MB
Access Level
Open Access
Date Uploaded
2026-06-16
MD5 Checksum
897551374cac28e0db26dcb0b676b8e7
