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Stability and Repeatability of a Karst-like Hierarchical Porous Silicon Oxide-Based Memristor

  • Qin Gao
  • , Anping Huang*
  • , Qi Hu
  • , Xinjiang Zhang
  • , Yu Chi
  • , Runmiao Li
  • , Yuhang Ji
  • , Xueliang Chen
  • , Rumeng Zhao
  • , Meng Wang
  • , Hongliang Shi
  • , Mei Wang
  • , Yimin Cui
  • , Zhisong Xiao
  • , Paul K. Chu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A memristor architecture based on porous oxide materials has the potential to be used in artificial synaptic devices. Herein, we present a memristor system employing a karst-like hierarchically porous (KLHP) silicon oxide structure with good stability and repeatability. The KLHP structure prepared by an electrochemical process and thermal oxidation exhibits high ON-OFF ratios up to 105 during the endurance test, and the data can be maintained for 105 s at a small read voltage 0.1 V. The mechanism of lithium ion migration in the porous silicon oxide structure has been discussed by a simulated model. The porous silicon oxide-based memristor is very promising because of the enhanced performance as well as easily accessed neuromorphic computing.
Original languageEnglish
Pages (from-to)21734-21740
JournalACS Applied Materials and Interfaces
Volume11
Issue number24
Online published24 May 2019
DOIs
Publication statusPublished - 19 Jun 2019

Research Keywords

  • hierarchical
  • karst
  • lithium ions
  • memristor
  • porous
  • silicon oxide

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