Tailoring the Switching Dynamics in Yttrium Oxide-Based RRAM Devices by Oxygen Engineering: From Digital to Multi-Level Quantization toward Analog Switching

Stefan Petzold*, Eszter Piros*, Robert Eilhardt, Alexander Zintler, Tobias Vogel, Nico Kaiser, Aldin Radetinac, Philipp Komissinskiy, Eric Jalaguier, Emmanuel Nolot, Christelle Charpin-Nicolle, Christian Wenger, Leopoldo Molina-Luna, Enrique Miranda, Lambert Alff

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

26 Citations (Scopus)

Abstract

This work investigates the transition from digital to gradual or analog resistive switching in yttrium oxide-based resistive random-access memory devices. It is shown that this transition is determined by the amount of oxygen in the functional layer. A homogeneous reduction of the oxygen content not only reduces the electroforming voltage, allowing for forming-free devices, but also decreases the voltage operation window of switching, thereby reducing intra-device variability. The most important effect as the dielectric becomes substoichiometric by oxygen engineering is that more intermediate (quantized) conduction states are accessible. A key factor for this reproducibly controllable behavior is the reduced local heat dissipation in the filament region due to the increased thermal conductivity of the oxygen depleted layer. The improved accessibility of quantized resistance states results in a semi-gradual switching both for the set and reset processes, as strongly desired for multi-bit storage and for an accurate definition of the synaptic weights in neuromorphic systems. A theoretical model based on the physics of mesoscopic structures describing current transport through a nano-constriction including asymmetric potential drops at the electrodes and non-linear conductance quantization is provided. The results contribute to a deeper understanding on how to tailor materials properties for novel memristive functionalities.

Original languageEnglish
Article number2000439
Number of pages13
JournalAdvanced Electronic Materials
Volume6
Issue number11
DOIs
Publication statusPublished - Nov 2020

Keywords

  • analog
  • conductance quantization
  • gradual
  • neuromorphic
  • oxygen engineering
  • resistive switching memory
  • yttria
  • yttrium oxide

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