Modeling and Analysis of Gallium Oxide Vertical Transistors

Andriy Zakutayev, Ramchandra Kotecha, Wyatt Metzger, Barry Mather, Sreekant Narumanchi

Research output: Contribution to journalArticlepeer-review

25 Scopus Citations

Abstract

Gallium oxide (Ga2O3) based semiconductor devices are expected to disrupt power electronic applications in the near future. Due to the wide bandgap of Ga2O3, it should be possible to fabricate power devices with higher breakdown voltages and lower on-state resistances compared to incumbent Silicon (Si) and Silicon Carbide (SiC) technologies. In particular, vertical metal-oxide field effect transistor (MOSFETs) and vertical Fin Field Effect Transistor (FinFETs) devices based on Ga2O3 have been recently reported. Here, we present a comparative modelling study of such vertical Ga2O3 power transistors using use Technology Computer Aided Design (TCAD) and analyze their electro-thermal performance under static and dynamic operating conditions. We find that the MOSFETs show a trade-off between the current gains and threshold voltages, as a function of device geometry and acceptor concentrations in the body region. In contrast, in the FinFETs structures it is possible to achieve normally-off operation by proper design of the fin width and its donor concentration, without p-type doping. Overall, the modeling and analysis results presented here can be used as a guide for experimental improvement of the vertical Ga2O3 device performance for future power electronic applications.

Original languageAmerican English
Pages (from-to)Q3202-Q3205
JournalECS Journal of Solid State Science and Technology
Volume8
Issue number7
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© The Author(s) 2019.

NREL Publication Number

  • NREL/JA-5K00-73523

Keywords

  • electron devices
  • Ga2O3
  • semiconductors
  • TCAD modeling
  • vertical transistor

Fingerprint

Dive into the research topics of 'Modeling and Analysis of Gallium Oxide Vertical Transistors'. Together they form a unique fingerprint.

Cite this