journal article·2021-12-08Open access

A Consistent Model for Short-Term Instability and Long-Term Retention in Filamentary Oxide-Based Memristive Devices

Nils Kopperberg, Stefan Wiefels, Sergej Liberda, Rainer Waser, Stephan Menzel

ACS Applied Materials & Interfaces· Volume 13· Issue 48

Abstract

Major challenges concerning the reliability of resistive switching random access memories based on the valence change mechanism (VCM) are short-term instability and long-term retention failure of the programmed resistance state, particularly in the high resistive state. On the one hand, read noise limits the reliability of VCMs via comparatively small current jumps especially when looking at the statistics of millions of cells that are needed for industrial applications. Additionally, shaping algorithms aiming for an enlargement of the read window are observed to have no lasting effect. On the other hand, long-term retention failures limiting the lifetime of the programmed resistance states need to be overcome. The physical origin of these phenomena is still under debate and needs to be understood much better. In this work, we present a three-dimensional kinetic Monte Carlo simulation model where we implemented diffusion-limiting domains to the oxide layer of the VCM cell. We demonstrate that our model can explain both instability and retention failure consistently by the same physical processes. Further, we find that the random diffusion of oxygen vacancies plays an important role regarding the reliability of VCMs and can explain instability phenomena as the shaping failure as well as the long-term retention failure in our model. Additionally, the results of the simulations are compared with experimental data of read noise and retention investigations on ZrO2-based VCM devices.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institut für Werkstoffe der Elektrotechnik II (IWE2) and JARA-FIT, RWTH Aachen University, Aachen 52074, Germany

Peter-Grünberg-Institut 7 (PGI-7), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

Peter-Grünberg-Institut 10 (PGI-10), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

Funding

Bundesministerium f??r Bildung und Forschung · Deutsche Forschungsgemeinschaft

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