Evidence map›Paper›PMID 42649190›Full record

ArticleNature communications2026

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

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

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guirong SuJiangsu Provincial Engineering Research Center for Structure-Function Integrated Metallic Materials for Harsh Environments, School of Materials Science and Engineering, Hohai University, Changzhou, China.
Rulin FengResearch Center for Chemical Theory (RCCT), Shanghai Key Laboratory of Molecular Catalysis and Innovation Materials, Collaborative Innovation Centre of Chemistry for Energy Materials, MOE Laboratory for Computational Physical Science, Department of Chemistry, Fudan University, Shanghai, China.
Yonghao ZhaoJiangsu Provincial Engineering Research Center for Structure-Function Integrated Metallic Materials for Harsh Environments, School of Materials Science and Engineering, Hohai University, Changzhou, China. yhzhao@hhu.edu.cn.ORCID http://orcid.org/0000-0002-2462-6003
Igor Ying ZhangResearch Center for Chemical Theory (RCCT), Shanghai Key Laboratory of Molecular Catalysis and Innovation Materials, Collaborative Innovation Centre of Chemistry for Energy Materials, MOE Laboratory for Computational Physical Science, Department of Chemistry, Fudan University, Shanghai, China. igor_zhangying@fudan.edu.cn.ORCID http://orcid.org/0000-0002-8703-1912
Wei LiuNano and Heterogeneous Materials Center, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. weiliu@ciac.ac.cn.ORCID http://orcid.org/0009-0009-2525-2507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID42649190
PMCPMC13518871

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.