Fast and straightforward analysis approach of charge transport data in single molecule junctions

Abstract : In this study, we introduce an efficient data sorting algorithm, including filters for noisy signals, conductance mapping for analyzing the most dominant conductance group and sub-population groups. The capacity of our data analysis process has also been corroborated on real experimental data sets of Au-1,6-hexanedithiol-Au and Au-1,8-octanedithiol-Au molecular junctions. The fully automated and unsupervised program requires less than one minute on a standard PC to sort the data and generate histograms. The resulting one-dimensional and two-dimensional log histograms give conductance values in good agreement with previous studies. Our algorithm is a straightforward, fast and user-friendly tool for single molecule charge transport data analysis. We also analyze the data in a form of a conductance map which can offer evidence for diversity in molecular conductance. The code for automatic data analysis is openly available, well-documented and ready to use, thereby offering a useful new tool for single molecule electronics.
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Article dans une revue
Nanotechnology, Institute of Physics, 2018, 29 (32), 〈10.1088/1361-6528/aac45a〉
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https://hal.archives-ouvertes.fr/hal-01872004
Contributeur : Dominique Girard <>
Soumis le : mardi 11 septembre 2018 - 15:05:19
Dernière modification le : jeudi 13 septembre 2018 - 01:10:22

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Qian Zhang, Chenguang Liu, Shuhui Tao, Ruowei Yi, Weitao Su, et al.. Fast and straightforward analysis approach of charge transport data in single molecule junctions. Nanotechnology, Institute of Physics, 2018, 29 (32), 〈10.1088/1361-6528/aac45a〉. 〈hal-01872004〉

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