Erratum: Unsupervised segmentation-based machine learning as an advanced analysis tool for single molecule break junction data (The Journal of Physical Chemistry C (2020) 124:33 (18302-18315) DOI: 10.1021/acs.jpcc.0c03612)

Nathan D. Bamberger, Jeffrey A. Ivie, Keshaba N. Parida, Dominic V. McGrath, Oliver L.A. Monti

Research output: Contribution to journalComment/debatepeer-review

Abstract

We report two corrections to the references cited in the paper. Neither affect results or conclusions reached in the paper, but both are important for readers to be able to properly access the broader context of our work: First, the superscript citation to reference #78 on line 17 of page 18309 of the published manuscript should be removed; it is present due to an error that occurred with the reference software. Second, the ordering of references in the reference section (pages 18313-18315) needs to be changed to the order shown below. We stress that these are still the same references listed in the published version of the manuscript (with the exception of ref 78 which needs to be removed, as stated under point 1 above); only their order needs correcting. Below is the correct order.

Original languageEnglish (US)
Pages (from-to)24029-24031
Number of pages3
JournalJournal of Physical Chemistry C
Volume124
Issue number43
DOIs
StatePublished - Oct 29 2020

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Energy(all)
  • Physical and Theoretical Chemistry
  • Surfaces, Coatings and Films

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