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First Experimental Demonstration of Robust HZO/β-GaO Ferroelectric Field-Effect Transistors as Synaptic Devices for Artificial Intelligence Applications in a High-Temperature Environment

  • Jinhyun Noh
  • , Hagyoul Bae
  • , Junkang Li
  • , Yandong Luo
  • , Yiming Qu
  • , Tae Joon Park
  • , Mengwei Si
  • , Xuegang Chen
  • , Adam R. Charnas
  • , Wonil Chung
  • , Xiaochen Peng
  • , Shriram Ramanathan
  • , Shimeng Yu
  • , Peide D. Ye*
  • *Corresponding author for this work
  • Purdue University
  • Georgia Institute of Technology

Research output: Contribution to journalJournal articlepeer-review

Abstract

We have experimentally demonstrated robust beta-gallium oxide ( beta -Ga2O3) ferroelectric (FE) field-effect transistors (FeFETs) on a sapphire substrate operated up to 400 °C. Atomic layer deposited (ALD) Hf0.5 Zr0.5O2 [hafnium zirconium oxide (HZO)] is used as the FE dielectric. The HZO/ beta -Ga2O3 FeFETs are studied for their synaptic behavior applications at elevated temperatures. The devices show distinguishable polarization switching operation with the output conductance quasi-linearly controlled by the number of input pulses on the FE gate. In a simulation, on-chip learning accuracy reaches 94% at elevated temperatures using the Modified National Institute of Standards and Technology (MNIST) data set with a simple two-layer multilayer perceptron (MLP) network. These ultra wide bandgap semiconductor devices have the potential to fill the need for harsh environment neuromorphic applications.

Original languageEnglish
Article number9382105
Pages (from-to)2515-2521
Number of pages7
JournalIEEE Transactions on Electron Devices
Volume68
Issue number5
DOIs
StatePublished - 2021.05

Keywords

  • Beta-gallium oxide (β-Ga₂O₃)
  • ferroelectric (FE)
  • ferroelectric field-effect transistor (FeFET)
  • hafnium zirconium oxide (HZO)
  • high temperature
  • neuromorphic
  • on-chip learning
  • synaptic

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