Highly Reliable Threshold Switching Characteristics of Surface-Modulated Diffusive Memristors Immune to Atmospheric Changes

Young Geun Song, Ji Eun Kim, Jae Uk Kwon, Suk Yeop Chun, Keunho Soh, Sahn Nahm, Chong-Yun Kang, Jung Ho Yoon

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Active cation-based diffusive memristors featuring essentially volatile threshold switching have been proposed for novel applications, such as a selector in a one-selector-and-one-resistor structure and signal generators in neuromorphic computing. However, the high variability of the switching behavior, which results from the high electroforming voltage, external environmental conditions, and transition to the non-volatile switching mode in a high-current range, is considered a major impediment to such applications. Herein, for the first time, we developed a highly reliable threshold switching device immune to atmospheric changes based on an ultraviolet-ozone (UVO)-treated diffusive memristor consisting of Ag and SiO2 nanorods (NRs). UVO treatment forms a stable water reservoir on the surface of SiO2 NRs, facilitating the redox reaction and ion migration of Ag. Consequently, diffusive memristors possess reliable switching characteristics, including electroforming-free, repeatable, and consistent switching with resistance to changes in ambient conditions and compliance levels during operation. We demonstrated that our approach is suitable for various metal oxides and can be used in numerous applications.

Original languageEnglish
Pages (from-to)5495-5503
Number of pages9
JournalACS Applied Materials and Interfaces
Volume15
Issue number4
DOIs
Publication statusPublished - 2023 Feb 1

Bibliographical note

Funding Information:
This work was supported by the National R&D Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (NRF-2021M3F3A2A01037738 and NRF-2022R1C1C1004176), and by the Korea Institute of Science and Technology (2E32491 and 2V09333).

Publisher Copyright:
© 2023 American Chemical Society.

Keywords

  • UVO treatment
  • artificial neurons
  • diffusive memristors
  • nanorods
  • vertically integrated 1S1R

ASJC Scopus subject areas

  • General Materials Science

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