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Influence of long-range interactions on quantum interference in molecular conduction. A tight-binding (Hückel)
1Institute for Materials Chemistry and Engineering and IRCCS, Kyushu University, Nishi-ku, Fukuoka 819-0395, Japan.
The Journal of Chemical Physics
|June 3, 2019
Summary
We extended the Hückel molecular orbital (HMO) model to include long-range interactions (LRIs) and geometric modifications. This enhanced model accurately predicts quantum interference (QI) effects in molecules, improving upon standard HMO calculations.
Area of Science:
- Quantum Chemistry
- Molecular Electronics
- Condensed Matter Physics
Background:
- Quantum interference (QI) significantly suppresses electron transmission in π-conjugated molecules connected to electrodes.
- Standard Hückel molecular orbital (HMO) models show deviations from experimental and advanced computational results for QI phenomena.
Purpose of the Study:
- To extend the HMO method by incorporating non-nearest-neighbor interactions (long-range interactions, LRIs).
- To develop a geometric modification within the HMO model to account for bond rotations.
- To improve the accuracy of predicting quantum interference effects in molecular systems.
Main Methods:
- Implemented LRIs in the HMO model using a damping function based on topological distance.
- Incorporated geometric modifications, specifically rotation around single bonds, into the extended HMO model.
- Validated results against Density Functional based Tight-Binding (DFTB) calculations and experimental data.
Main Results:
- LRIs were found to alter the position and intensity of QI-induced antiresonance peaks, sometimes suppressing QI.
- The geometric LRI model accurately reproduced transmission changes due to bond rotation in biphenyl.
- Results align well with DFTB calculations and experimental observations for molecular systems.
Conclusions:
- The extended HMO model with LRIs and geometric modifications provides a more accurate description of quantum interference phenomena.
- This approach offers a valuable tool for understanding and predicting electron transport in molecular junctions.
- The findings enhance molecular orbital theory and graph-theoretic path-counting models for electron transport studies.
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