Improved molecular conductance predictions using wavefunction-in-DFT quantum embedding

A novel electronic structure methodology to describe electron transport in single-molecule junctions (SMJs) within non-equilibrium Green's function theory is presented. The approach is based on a formally exact, projection-based quantum embedding technique that combines correlated many-electron wavefunction models for the molecular region with a density functional theory (DFT) description of the metallic electrodes. This is achieved by constructing a specialized Hamiltonian for the molecular domain, leveraging Dyson orbitals corresponding to the ionized and electron-attached states of the embedded molecule. The effectiveness of this wavefunction-in-DFT embedding scheme is demonstrated through transport calculations for SMJs containing benzene-1,4-diamine and its substituted derivatives, employing Hartree-Fock, SOS-ADC(2), and CCSD methods for the molecular subsystem. The results show a marked improvement in the predicted zero-bias conductance compared to conventional DFT-based transport modeling employing the PBE functional. The proposed methodology provides a systematic way to select the most suitable electronic structure methods for the different parts of the system, maintaining a balance between accuracy and computational cost, while ensuring a proper description of electronic correlation within the molecule, which may notably impact electron transport in certain systems.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2026-02-03
DOI
https://doi.org/10.1063/5.0313307
Primary Topic
Molecular Junctions and Nanostructures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved molecular conductance predictions using wavefunction-in-DFT quantum embedding

Dávid Mester, Dávid P. Jelenfi, Peter Szalay, Attila Tajti
The Journal of Chemical Physics
Molecular Junctions and Nanostructures
article

Improved molecular conductance predictions using wavefunction-in-DFT quantum embedding

Dávid Mester, Dávid P. Jelenfi, Peter Szalay, Attila Tajti
article en

Abstract

A novel electronic structure methodology to describe electron transport in single-molecule junctions (SMJs) within non-equilibrium Green's function theory is presented. The approach is based on a formally exact, projection-based quantum embedding technique that combines correlated many-electron wavefunction models for the molecular region with a density functional theory (DFT) description of the metallic electrodes. This is achieved by constructing a specialized Hamiltonian for the molecular domain, leveraging Dyson orbitals corresponding to the ionized and electron-attached states of the embedded molecule. The effectiveness of this wavefunction-in-DFT embedding scheme is demonstrated through transport calculations for SMJs containing benzene-1,4-diamine and its substituted derivatives, employing Hartree-Fock, SOS-ADC(2), and CCSD methods for the molecular subsystem. The results show a marked improvement in the predicted zero-bias conductance compared to conventional DFT-based transport modeling employing the PBE functional. The proposed methodology provides a systematic way to select the most suitable electronic structure methods for the different parts of the system, maintaining a balance between accuracy and computational cost, while ensuring a proper description of electronic correlation within the molecule, which may notably impact electron transport in certain systems.

The Journal of Chemical PhysicsVol. 164(5)
Eötvös Loránd University (HU), Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 68%
Molecular Junctions and Nanostructures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Improved molecular conductance predictions using wavefunction-in-DFT quantum embedding — Dávid Mester, Dávid P. Jelenfi, et al. · The Journal of Chemical Physics (2026) | TGRS Research Map | TGRS