Variability-aware modeling of electrochemical metallization memory cells

oleh: Rana Walied Ahmad, Rainer Waser, Florian Maudet, Onur Toprak, Catherine Dubourdieu, Stephan Menzel

Format: Article
Diterbitkan: IOP Publishing 2024-01-01

Deskripsi

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.