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April 25, 2026The Journal of Physical Chemistry Letters0 citations

Robust and High-Performance Self-Rectifying Memristors Featuring a-WO 3 /a-IGZO Heterostructures for Reliable Artificial Synaptic Applications

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SJShuangju JiaHLHongbing LuYZYuanyuan Zhu

Key Points

  • This research aims to develop reliable self-rectifying memristors using amorphous WO3/a-IGZO heterostructures for artificial synaptic applications.
  • Fabrication of self-rectifying memristors with a-WO3/a-IGZO heterostructures.
  • Evaluation of high-performance characteristics including rectification ratio and operational stability.
  • Implementation of multisynaptic functions through continuous conductance modulation.
  • Achieved a high rectification ratio of over 10^4 and low operating voltages.
  • Demonstrated outstanding operational stability in switching performance.
  • Enabled effective suppression of crosstalk currents, making them suitable as artificial synapses.

Abstract

By integrating rectification and resistive switching functionalities, self-rectifying memristors play a pivotal role for large-scale, high-density 3D integration, which can effectively suppress sneak-path currents. However, the limited reliability and poor overall performance of mainstream metal oxide-based self-rectifying memristors hinder their widespread practical application. Herein, robust self-rectifying memristors are fabricated using an amorphous WO3/amorphous IGZO (a-WO3/a-IGZO) heterostructure, and they exhibit excellent high-performance characteristics, including a high rectification ratio (>104), low operating voltages, and outstanding operational stability. This enhanced self-rectifying switching performance is attributed to the formation of an interfacial space-charge layer, resulting from the mismatch in carrier concentration between a-WO3 and a-IGZO. Furthermore, multisynaptic functions are subsequently emulated using a-WO3/a-IGZO heterostructure memristors, whose conductance can be continuously modulated. This work presents a heterostructure strategy for constructing robust, high-performance self-rectifying memristors based on amorphous metal oxides, which effectively suppress crosstalk currents and serve as reliable artificial synapses for neuromorphic computing.

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Cite This Study

Jia et al. (2026) studied this question.

synapsesocial.com/papers/69ec5b2388ba6daa22daca21https://doi.org/10.1021/acs.jpclett.6c00943
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