IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (Jan 2023)

Modeling of Bilayer Modulated RRAM and Its Array Performance for Compute-in-Memory Applications

  • Jia-Wei Lee,
  • Tzu-Chin Chou,
  • Po-An Chen,
  • Meng-Hsueh Chiang

DOI
https://doi.org/10.1109/JXCDC.2023.3311899
Journal volume & issue
Vol. 9, no. 2
pp. 151 – 158

Abstract

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This article presents a modified compact model of resistive random access memory (RRAM) with a tunneling barrier. The bilayer modulated RRAM can be integrated into a higher density array, reducing leakage current in standby mode. The model demonstrates current transition behavior from low- to high-bias regions by considering both bulk-limited and electrode-limited transport mechanisms. This model can evaluate RRAM array performance under various pulsing conditions and device parameter variations with calibrated model cards. The compute-in-memory application requires precise current sum results hindered by the wire resistance loading effect. This study also evaluates various sizes of arrays suitable for performance improvement.

Keywords