Variability-aware modeling of electrochemical metallization memory cells

Neuromorphic Computing and Engineering, vol. 4, pp. 034007

Abstract

Abstract Resistively switching electrochemical metallization memory cells are gaining huge interest since they are seen as promising candidates and basic building blocks for future computation-in-memory applications. However, especially filamentary-based memristive devices suffer from inherent variability, originating from their stochastic switching behavior. A variability-aware compact model of electrochemical metallization memory cells is presented in this study and verified by showing a fit to experimental data. It is an extension of the deterministic model. Since this extension consists of several different features allowing for a realistic variability-aware fit, it depicts a unique model comprising physics-based, stochastically and experimentally originating variabilities and reproduces them well. In addition, a physics-based model parameter study is executed, which enables a comprehensive view into the device physics and presents guidelines for the compact model fitting procedure.

Authors 6

1. Rana Walied Ahmad corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   PGI-7, Forschungszentrum Jülich Peter Grünberg Institut, Wilhelm-Johnen-Straße, Juelich, 52428, GERMANY

2. Rainer Waser Aachen Institute of Electronic Materials II

   RWTH Aachen University

   Affiliation as printed

   Institute of Electronic Materials II , Rheinisch-Westfalische Technische Hochschule Aachen, Sommerfeldstraße 24, Aachen, Nordrhein-Westfalen, 52056, GERMANY

3. Florian Maudet

   Helmholtz-Zentrum Berlin für Materialien und Energie

   Affiliation as printed

   Institute Functional Oxides for Energy-Efficient Information Technology, Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Hahn-Meitner-Platz 1, Berlin, 14109, GERMANY

4. Onur Toprak

   Helmholtz-Zentrum Berlin für Materialien und Energie

   Affiliation as printed

   Institute Functional Oxides for Energy-Efficient Information Technology, Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Hahn-Meitner-Platz 1, Berlin, 14109, GERMANY

5. Catherine Dubourdieu

   Helmholtz-Zentrum Berlin für Materialien und Energie

   Affiliation as printed

   Institute Functional Oxides for Energy-Efficient Information Technology, Helmholtz-Zentrum Berlin fur Materialien und Energie GmbH, Hahn-Meitner-Platz 1, Berlin, Berlin, 14109, GERMANY

6. Stephan Menzel

   Forschungszentrum Jülich

   Affiliation as printed

   PGI-7, Forschungszentrum Julich GmbH, Wilhelm-Johnen-Straße, Julich, 52428, GERMANY