Title |
New Insights into Single-Molecule Junctions Using a Robust, Unsupervised Approach to Data Collection and Analysis
|
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Published in |
Journal of the American Chemical Society, July 2015
|
DOI | 10.1021/jacs.5b05693 |
Pubmed ID | |
Authors |
Michael S. Inkpen, Mario Lemmer, Nathan Fitzpatrick, David C. Milan, Richard J. Nichols, Nicholas J. Long, Tim Albrecht |
Abstract |
We have applied a new, robust and unsupervised approach to data collection, sorting and analysis that provides fresh insights into the nature of single-molecule junctions. Automation of tunneling current-distance (I(s)) spectroscopy facilitates the collection of very large datasets (up to 100,000 traces for a single experiment), enabling comprehensive statistical interrogations with respect to underlying tunneling characteristics, noise and junction formation probability (JFP). We frequently observe unusual low-to-high through-molecule conductance features with increasing electrode separation, in addition to numerous other 'plateau' shapes which may be related to changes in interfacial or molecular bridge structure. Furthermore, for the first time we use the JFP to characterize the homogeneity of functionalized surfaces at the nanoscale. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 73 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 33% |
Researcher | 15 | 20% |
Student > Master | 9 | 12% |
Student > Bachelor | 4 | 5% |
Professor | 4 | 5% |
Other | 12 | 16% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 37 | 49% |
Physics and Astronomy | 14 | 19% |
Materials Science | 9 | 12% |
Agricultural and Biological Sciences | 2 | 3% |
Engineering | 2 | 3% |
Other | 2 | 3% |
Unknown | 9 | 12% |