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Automatic classification of single-molecule charge transport data with an unsupervised machine-learning algorithm

Crossref DOI link: https://doi.org/10.1039/C9CP04496E

Published Online: 2020

Update policy: https://doi.org/10.1039/rsc_crossmark_policy

Authors

Huang, Feifei

Li, Ruihao https://orcid.org/0000-0002-8040-7905
Wang, Gan

Zheng, Jueting https://orcid.org/0000-0001-8437-2677
Tang, Yongxiang

Liu, Junyang https://orcid.org/0000-0002-7252-1900
Yang, Yang https://orcid.org/0000-0003-1967-3398
Yao, Yuan https://orcid.org/0000-0002-0025-6175
Shi, Jia https://orcid.org/0000-0001-5833-7798
Hong, Wenjing https://orcid.org/0000-0003-4080-6175
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (21503179, 21673195, 21703188, 21722305, 61573295, 21973079)

National Basic Research Program of China (2017YFA0204902)

Ministry of Science and Technology (MOST 105-2628-E-007-013-MY2)
License Information

Accepted Manuscript valid from 2020-12-11
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Ruihao Li (ORCID)

: Jueting Zheng (ORCID)

: Junyang Liu (ORCID)

: Yang Yang (ORCID)

: Yuan Yao (ORCID)

: Jia Shi (ORCID)

: Wenjing Hong (ORCID)

: Wenjing Hong (ResearcherID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 14 August 2019; Accepted 10 December 2019; Accepted Manuscript published 11 December 2019; Advance Article published 2 January 2020; Version of Record published 22 January 2020