4.7 Article

Memory programming of TiO2-x films by Conductive Atomic Force Microscopy evidencing filamentary resistive switching

Journal

APPLIED SURFACE SCIENCE
Volume 332, Issue -, Pages 55-61

Publisher

ELSEVIER
DOI: 10.1016/j.apsusc.2015.01.133

Keywords

Thin films; Resistive memory devices; Non-volatile memories; Conduction mechanisms; Oxygen vacancies; Conducting filaments; Electrical characterization; Sputtering

Funding

  1. research program Aristeia II [4543]
  2. European Union
  3. National Strategic Reference Framework (NSRF)

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Resistive Random Access Memory (RRAM) with a structure Au/Ti/TiO2-x/Au demonstrated a clear bipolar resistive switching behavior without the necessity of an initial electroforming process. The titanium oxide (TiO2-x) thin film was deposited by reactive RF magnetron sputtering at room temperature in a controlled oxygen/argon ambient. The high density of oxygen vacancies within the film (induced by the low oxygen content) is an essential component for the formation of conducting filaments and demonstration of DC or nanosecond pulsed resistance switching, but also impose limitations for the conduction behavior of the high resistance state. Conductive Atomic Force Microscopy (C-AFM) was then employed in order to investigate the nanoscale electrical properties of our device. In situ current distribution during the SET process disclosed possible formation of conducting filaments while DC sweeping bias voltage revealed an OFF/ON switching ratio of about 200. We have also demonstrated that by using C-AFM both a low resistance state and a high resistance state can be written by bipolar voltage application imaged by corresponding patterns on the TiO2-x current image, suggesting that oxygen ions movement at the Pt-Ir coated tip/TiO2-x interface plays a critical role in the resistive switching phenomenon and thus correlating the macroscopic characteristics of our device with its microscopic origins. Nanoscale resistance switching is also demonstrated by programming distinct patterns on the device's current image. (C) 2015 Elsevier B.V. All rights reserved.

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