The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfOx/W Bilayer-Structured Memory Device

Minseo Noh, Dongyeol Ju, Seongjae Cho, Sungjun Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This study discusses the potential application of ITO/ZnO/HfOx/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>102) and stable retention (>104 s). Notably, the formation and rupture of filaments at the interface of ZnO and HfOx contribute to a higher ON/OFF ratio and improve cycle uniformity compared to RRAM devices without the HfOx layer. Additionally, the linearity of potentiation and depression responses validates their applicability in neural network pattern recognition, and spike-timing-dependent plasticity (STDP) behavior is observed. These findings collectively suggest that the ITO/ZnO/HfOx/W structure holds the potential to be a viable memory component for integration into neuromorphic systems.

Original languageEnglish
Article number2856
JournalNanomaterials
Volume13
Issue number21
DOIs
StatePublished - Nov 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • ZnO
  • neuromorphic system
  • resistive switching
  • spike-timing-dependent plasticity

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