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Comment on "A reference-free clustering method for the analysis of molecular break-junction measurements" [Appl. Phys. Lett. 114, 143102 (2019)]

  • Half Hollow Hills High School East
  • Stony Brook University

Research output: Contribution to journalReview articlepeer-review

Abstract

We validate the utility of machine learning techniques for distinguishing different break junction configurations. Furthermore, we demonstrate that the different classes of traces can be mechanistically and independently analyzed, leading to additional physical insight into molecular conductance.

Original languageEnglish
Article number136101
JournalApplied Physics Letters
Volume117
Issue number13
DOIs
StatePublished - Sep 28 2020

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