ArticleNature communications2016
Unsupervised vector-based classification of single-molecule charge transport data.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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Who cites it
16 citing papers in PubMed.
- Fundamentals, Measurement and Regulation of the Conductance of Single Molecule Junctions.Angewandte Chemie (International ed. in English) · 2026Review
- Objective clustering protocol for single-molecule data: A lifetime vs. intensity study.Biophysical reports · 2026Article
- Performance improvement of single-molecule sensors through deep learning-based decoding of tunneling signals enables sub-attomolar sensitivity.Nature communications · 2026Article
- Experimental and Theoretical Studies of Isomeric Metal (N^C^N)Cl Coordination Complexes (Metal = Pt, Pd) with Multiple Conductance Pathways in Single-Molecule Junctions.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026Article
- Single-Molecule and π-π-Stacked Dimer Electron Transport in Carbazole and Folded Bicarbazole Derivatives in Molecular Junctions.ACS omega · 2025Article
- Single-Molecule Bioelectronic Sensors with AI-Aided Data Analysis: Convergence and Challenges.Precision chemistry · 2024Review
- The Conductance and Thermopower Behavior of PendentACS omega · 2024Article
- Making the Most of Nothing: One-Class Classification for Single-Molecule Transport Studies.ACS nanoscience Au · 2024Article
- Methods for the analysis, interpretation, and prediction of single-molecule junction conductance behaviour.Chemical science · 2024Review
- Total variation denoising-based method of identifying the states of single molecules in break junction data.Discover nano · 2024Article
- Influence of Peripheral Alkyl Groups on Junction Configurations in Single-Molecule Electronics.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024Article
- Configuration-Specific Insight into Single-Molecule Conductance and Noise Data Revealed by the Principal Component Projection Method.The journal of physical chemistry letters · 2023Article
- Quantum Interference and Contact Effects in the Thermoelectric Performance of Anthracene-Based Molecules.The journal of physical chemistry. C, Nanomaterials and interfaces · 2023Article
- Trusting our machines: validating machine learning models for single-molecule transport experiments.Chemical Society reviews · 2022Review
- Unravelling the conductance path through single-porphyrin junctions.Chemical science · 2019Article
- Single-Molecule Conductance Studies of Organometallic Complexes Bearing 3-Thienyl Contacting Groups.Chemistry (Weinheim an der Bergstrasse, Germany) · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The stochastic nature of single-molecule charge transport measurements requires collection of large data sets to capture the full complexity of a molecular system. Data analysis is then guided by certain expectations, for example, a plateau feature in the tunnelling current distance trace, and the molecular conductance extracted from suitable histogram analysis. However, differences in molecular conformation or electrode contact geometry, the number of molecules in the junction or dynamic effects may lead to very different molecular signatures. Since their manifestation is a priori unknown, an unsupervised classification algorithm, making no prior assumptions regarding the data is clearly desirable. Here we present such an approach based on multivariate pattern analysis and apply it to simulated and experimental single-molecule charge transport data. We demonstrate how different event shapes are clearly separated using this algorithm and how statistics about different event classes can be extracted, when conventional methods of analysis fail.
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Registered trials
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.