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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Bibliographic Details
Published in:Physical chemistry chemical physics : PCCP Vol. 22; no. 3; p. 1674
Main Authors: Huang, Feifei, Li, Ruihao, Wang, Gan, Zheng, Jueting, Tang, Yongxiang, Liu, Junyang, Yang, Yang, Yao, Yuan, Shi, Jia, Hong, Wenjing
Format: Journal Article
Language:English
Published: England 22.01.2020
ISSN:1463-9084, 1463-9084
Online Access:Get more information
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