Optimization of the Anodization Processing for Aluminum Oxide Gate Dielectrics in ZnO Thin Film Transistors by Multivariate Analysis

  • Tiago C. Gomes
  • , Dinesh Kumar
  • , Lucas Fugikawa-Santos
  • , Neri Alves
  • , Jeffrey Kettle

Research output: Contribution to journalArticlepeer-review

337 Downloads (Pure)

Abstract

The present study reports a two-level multivariate analysis to optimise the production of anodised aluminium oxide (Al2O3) dielectric films for zinc oxide thin-film transistor (TFTs). Fourteen performance parameters were measured and Analysis Of Variance (ANOVA) of the combined responses has been applied to identify how the Al2O3 dielectric fabrication process influences the electrical properties of the TFTs. Using this approach, the levels for the manufacturing factors to achieve optimal overall device performance have been identified and ranked. The cross-checked analysis of the TFT performance parameters demonstrated that the appropriate control of the anodisation process can have a higher impact on TFT performance than the use of traditional methods of surface treatment of the dielectric layer. Flexible electronics applications are expected to grow substantially over the next 10 years. Given the complexity and challenges of new flexible electronics components, this ‘multivariate’ approach could be adopted more widely by the industry to improve the reliability and performance of such devices.
Original languageEnglish
Pages (from-to)370-379
JournalACS Combinatorial Science
Volume21
Issue number5
Early online date25 Mar 2019
DOIs
Publication statusPublished - 13 May 2019

Keywords

  • ANOVA
  • Plackett-Burman design
  • aluminum oxide
  • anodization
  • design of experiments
  • thin-film transistors

Fingerprint

Dive into the research topics of 'Optimization of the Anodization Processing for Aluminum Oxide Gate Dielectrics in ZnO Thin Film Transistors by Multivariate Analysis'. Together they form a unique fingerprint.

Cite this