A Physics-Based Compact Model for IGZO Channel FET Toward Subthreshold Characteristic Dependent Memory Application

Xuebin Wang, Kaifei Chen, Yutao Li, Jingsi Qiao, Yuanxiao Ma, Chengji Jin, Jixuan Wu, Jiezhi Chen, Masaharu Kobayashi, Guanhua Yang, Ling Li, Fei Mo*, Yeliang Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

InGaZnO (IGZO) transistors and their related memory applications have recently aroused great interest among researchers. In this article, we consider a shallow donor with a Gaussian distribution as positive charge in the IGZO channel to analyze surface potential (φS) for subthreshold operation precisely. Meanwhile, a new surface potential analysis method for the IGZO channel is proposed considering 1) the effect of the floating body due to the lack of holes and 2) the effect of enhanced gate charge due to the electric field from the drain and source in the short channel. The proposed compact model demonstrates a good agreement with TCAD simulation and experimental results regarding device variation in all operation regions. Finally, a Monte Carlo simulation of IGZO ferroelectric field electric transistors (FeFET) and 2T0C IGZO FET DRAM, considering device and material properties variation shows the potential of this model for circuit-level simulations for memory applications.

Original languageEnglish
Pages (from-to)2390-2398
Number of pages9
JournalIEEE Transactions on Electron Devices
Volume72
Issue number5
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • Compact model
  • InGaZnO (IGZO) channel
  • shallow donor
  • thin-film transistors (TFTs)

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