Automatic classification of single-molecule charge transport data with an unsupervised machine-learning algorithm
Single-molecule electrical characterization reveals the events occurring at the nanoscale, which provides guidelines for molecular materials and devices. However, data analysis to extract valuable information from the nanoscale measurement data remained as a major challenge. Herein, an unsupervised...
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| Published in: | Physical chemistry chemical physics : PCCP Vol. 22; no. 3; p. 1674 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
22.01.2020
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| ISSN: | 1463-9084, 1463-9084 |
| Online Access: | Get more information |
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