A Three-TieredHierarchical Computational FrameworkBridging Molecular Systems and Junction-Level Charge Transport

The nonequilibrium Green’s function (NEGF) method combined with ab initio calculations has been widely used to study charge transport in molecular junctions. However, the significant computational demands of high-resolution calculations for all device components pose challenges in simulating junctions with complex molecular junction structures and understanding the functionality of molecular devices. In this study, we developed a series of computational methods capable of effectively handling the molecular Hamiltonian, electrode electronic structures, and their interfacial coupling at different theoretical levels. As three-tiered hierarchical levels, they enable efficient charge transport computations ranging from individual molecules to complete junction systems, achieving an optimal balance between computational cost and accuracy. Moreover, integrated into a Question-Driven Hierarchical Computation (QDHC) framework, we show this three-tiered framework is able to address specific research objectives by isolating and analyzing the dominant factors governing charge transport, thus significantly enhancing the efficiency of analyzing charge transport mechanisms, as validated through a series of benchmark studies on diverse molecular junction systems.

Publication Details

Journal
Figshare
Published
2025-03-06
DOI
https://doi.org/10.1021/acs.jctc.4c01711.s001
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

A Three-TieredHierarchical Computational FrameworkBridging Molecular Systems and Junction-Level Charge Transport

Figshare
Molecular Junctions and Nanostructures
article

A Three-TieredHierarchical Computational FrameworkBridging Molecular Systems and Junction-Level Charge Transport

article en

Abstract

The nonequilibrium Green’s function (NEGF) method combined with ab initio calculations has been widely used to study charge transport in molecular junctions. However, the significant computational demands of high-resolution calculations for all device components pose challenges in simulating junctions with complex molecular junction structures and understanding the functionality of molecular devices. In this study, we developed a series of computational methods capable of effectively handling the molecular Hamiltonian, electrode electronic structures, and their interfacial coupling at different theoretical levels. As three-tiered hierarchical levels, they enable efficient charge transport computations ranging from individual molecules to complete junction systems, achieving an optimal balance between computational cost and accuracy. Moreover, integrated into a Question-Driven Hierarchical Computation (QDHC) framework, we show this three-tiered framework is able to address specific research objectives by isolating and analyzing the dominant factors governing charge transport, thus significantly enhancing the efficiency of analyzing charge transport mechanisms, as validated through a series of benchmark studies on diverse molecular junction systems.

Figshare
Openalex Percentile: Top 56%
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.

A Three-TieredHierarchical Computational FrameworkBridging Molecular Systems and Junction-Level Charge Transport · Figshare (2025) | TGRS Research Map | TGRS