PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025Nanomaterials0 citationsOpen Access

Gallium Oxide Memristors: A Review of Resistive Switching Devices and Emerging Applications

View Full Paper
AMAlfred MooreYHYaonan HouLLLijie Li

Key Points

  • Gallium oxide memristors improve switching speed and stability in electronic applications, enhancing multifunctional performance.
  • The review discusses state-of-the-art fabrication methods and challenges faced in developing Ga2O3-based memristors.
  • Capacitive memristors integrate resistive and capacitive switching mechanisms, advancing in-memory computing and sensor applications.
  • Future research pathways are outlined to foster the development of Ga2O3 memristors in revolutionizing emerging electronics.

Abstract

Gallium oxide (Ga2O3)-based memristors are gaining traction as promising candidates for next-generation electronic devices toward in-memory computing, leveraging the unique properties of Ga2O3, such as its wide bandgap, high thermodynamic stability, and chemical stability. This review explores the evolution of memristor theory for Ga2O3-based materials, emphasising capacitive memristors and their ability to integrate resistive and capacitive switching mechanisms for multifunctional performance. We discussed the state-of-the-art fabrication methods, material engineering strategies, and the current challenges of Ga2O3-based memristors. The review also highlights the applications of these memristors in memory technologies, neuromorphic computing, and sensors, showcasing their potential to revolutionise emerging electronics. Special focus has been placed on the use of Ga2O3 in capacitive memristors, where their properties enable improved switching speed, endurance, and stability. In this paper we provide a comprehensive overview of the advancements in Ga2O3-based memristors and outline pathways for future research in this rapidly evolving field.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Moore et al. (2025) studied this question.

synapsesocial.com/papers/68c189e79b7b07f3a0613e1ehttps://doi.org/10.3390/nano15171365
Ask AI
Helpful
Bookmark
Share
View Full Paper