Identification of mobility changes induced by deoxyribo nucleic acid in the inversion regions of ultralong single walled carbon nanotube field-effect transistor using support vector machine and multi-layer perceptron

S. V.Hari Krishna, J. N. An, L. X. Zheng

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Using ethanol based chemical vapour deposition (CVD), ultralong single walled carbon nanotubes (SWCNTs) were consistently grown in the centimetre scale, and a number of long-channel carbon nanotube field-effect transistors (CNTFETs) were fabricated. Here, we extracted the field-effect mobility of millimetre-long CNTFETs from the strong inversion region and near-threshold region respectively before and after the addition of deoxyribo nucleic acid (DNA). Support vector machine (SVM) and multi-layer perceptron (MLP) classification algorithms were used to discriminate between the bare device mobility and the DNA induced mobility data in the two regions. SVM classification yielded an average accuracy, sensitivity, and specificity of 97.81%, 97.66%, and 95.38% respectively. On the other hand, MLP based classification resulted in an average accuracy, sensitivity, and specificity of 92.10%, 95.07%, and 90.70%, respectively.

Original languageBritish English
Pages (from-to)207-221
Number of pages15
JournalInternational Journal of Nanotechnology
Volume11
Issue number1-4
DOIs
StatePublished - 2014

Keywords

  • Carbon nanotube
  • Classifiers
  • Deoxyribo nucleic acid
  • Field-effect transistor
  • Inversion region
  • Mobility
  • Multi-layer perceptron
  • Support vector machine
  • Ultralong

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