Determinants of electron transport at asymmetric metal/molecule/metal contacts

Single–molecule electronic devices offer the ultimate pathway to transcend post–Moore scaling limits. However, developing molecular diodes remains paralyzed by trial–and–error, as classical transport models fail at complex hybrid interfaces involving both strong covalent and weak non–covalent interactions. Here, we establish a unified theoretical model enabling precise quantitative prediction of electron transport across highly asymmetric metal/molecule/metal contacts. By screening 144 diverse molecular junctions—including classic donor–acceptor architectures—we uncover the microscopic mechanisms driving charge rectification: asymmetric anchoring groups induce pronounced electronic polarization, while dynamic adsorption–state changes dictate spatial coupling. This interplay is fundamentally governed by a deep synergy between interfacial bond dipoles and effective tunneling widths. We derive a composite descriptor bridging quantum tunneling and thermal excitation, achieving >93% predictive accuracies across monostable and bistable regimes. Guided by this, we identify optimal configurations yielding an intrinsic rectification ratio of 19.25 at 0.12 V, drastically outperforming conventional D–π–A systems. The development of molecular diodes has been hindered by trial-and-error approaches due to the breakdown of classical transport models at the metal–molecule interface. Su et al. investigate 144 molecular junctions and introduce a descriptor that achieves over 93% predictive accuracy in rectification ratio.

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Publication Details

Journal
Nature Communications
Published
2026-07-27
DOI
https://doi.org/10.1038/s41467-026-76040-2
Primary Topic
Molecular Junctions and Nanostructures
Type
article
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article

Determinants of electron transport at asymmetric metal/molecule/metal contacts

Igor Ying Zhang, Rulin Feng, Guirong Su, Yonghao Zhao et al.
Nature Communications
Molecular Junctions and Nanostructures
article

Determinants of electron transport at asymmetric metal/molecule/metal contacts

Igor Ying Zhang, Rulin Feng, Guirong Su, Yonghao Zhao, Wei Liu
article en

Abstract

Single–molecule electronic devices offer the ultimate pathway to transcend post–Moore scaling limits. However, developing molecular diodes remains paralyzed by trial–and–error, as classical transport models fail at complex hybrid interfaces involving both strong covalent and weak non–covalent interactions. Here, we establish a unified theoretical model enabling precise quantitative prediction of electron transport across highly asymmetric metal/molecule/metal contacts. By screening 144 diverse molecular junctions—including classic donor–acceptor architectures—we uncover the microscopic mechanisms driving charge rectification: asymmetric anchoring groups induce pronounced electronic polarization, while dynamic adsorption–state changes dictate spatial coupling. This interplay is fundamentally governed by a deep synergy between interfacial bond dipoles and effective tunneling widths. We derive a composite descriptor bridging quantum tunneling and thermal excitation, achieving >93% predictive accuracies across monostable and bistable regimes. Guided by this, we identify optimal configurations yielding an intrinsic rectification ratio of 19.25 at 0.12 V, drastically outperforming conventional D–π–A systems. The development of molecular diodes has been hindered by trial-and-error approaches due to the breakdown of classical transport models at the metal–molecule interface. Su et al. investigate 144 molecular junctions and introduce a descriptor that achieves over 93% predictive accuracy in rectification ratio.

Nature Communications
Hohai University (CN), Chinese Academy of Sciences (CN), Nanjing University of Science and Technology (CN), Changchun Institute of Applied Chemistry (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN)
Openalex Percentile: Top 16%
Molecular Junctions and Nanostructures
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Determinants of electron transport at asymmetric metal/molecule/metal contacts — Igor Ying Zhang, Rulin Feng, et al. · Nature Communications (2026) | TGRS Research Map | TGRS