• DocumentCode
    33477
  • Title

    Characterization and Modeling of a-IGZO TFTs

  • Author

    Migliorato, Piero ; Chowdhury, Md Delwar Hossain ; Jae Gwang Um ; Manju Seok ; Martivenga, Mallory ; Jin Jang

  • Author_Institution
    Dept. of Eng., Cambridge Univ., Cambridge, UK
  • Volume
    11
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    497
  • Lastpage
    505
  • Abstract
    In this paper, we present a systematic approach to the characterization and modeling of amorphous Indium Gallium Zinc Oxide (a-IGZO) thin-film transistors (TFTs), where the key parameters are determined from the analysis of both I- V and C- V characteristics, in a step-by-step fashion, without complex interdependences that may affect the accuracy of the results. Flat band voltage VFB and carrier concentration nFB are extracted by a method we have previously developed, validated here by applying it to simulated data. Next, the density of deep gap states is extracted, followed by the determination, by a new method, of the shallow donor concentration. The tail states parameters are determined last, by matching the calculated nFB to the experimental one. Simulations are then performed without any adjustable parameters. The approach is applied to the study of device to device variations, indicating that the material is strongly compensated. As for the analysis of Negative Bias under Illumination Stress (NBIS), this work confirms that the effect is due to creation of a double donor, with a shallow level close to the conduction band (positive correlation energy). Oxygen vacancies are the likely candidates. These defects are not detected in unstressed devices, where the characteristics can be accurately simulated by incorporating donors with a single shallow level.
  • Keywords
    gallium compounds; indium compounds; semiconductor device models; thin film transistors; C-V characteristics; I-V characteristics; InGaZnO; NBIS; TFTs; amorphous indium gallium zinc oxide thin-film transistor; carrier concentration; deep gap state extraction; flat band voltage; negative bias under illumination stress; oxygen vacancy; positive correlation energy; shallow donor concentration; tail state parameter; Capacitance; Capacitance-voltage characteristics; Data mining; Equations; Logic gates; Mathematical model; Thin film transistors; Amorphous-indium-gallium-zinc-oxide (a-IGZO); device physics; modeling; simulation; thin-film transistor (TFT);
  • fLanguage
    English
  • Journal_Title
    Display Technology, Journal of
  • Publisher
    ieee
  • ISSN
    1551-319X
  • Type

    jour

  • DOI
    10.1109/JDT.2014.2328335
  • Filename
    6824743