4.6 Article

Compact Modeling of Conducting-Bridge Random-Access Memory (CBRAM)

Journal

IEEE TRANSACTIONS ON ELECTRON DEVICES
Volume 58, Issue 5, Pages 1352-1360

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TED.2011.2116120

Keywords

conducting-bridge random-access memory (CBRAM); compact model; programmable metallization cell (PMC); resistive switching; solid-electrolyte memory; voltage-time relationship

Funding

  1. Systems of Neuromorphic Adaptive Plastic Scalable Electronics of the Defense Advanced Research Projects Agency
  2. National Science Foundation (NSF) under the NSF Electrical, Communications, and Cyber Systems [0950305]
  3. Nanoelectronics Research Initiative (NRI) of the Semiconductor Research Corporation (SRC)
  4. NSF Nanoscale Science and Engineering Center
  5. Focus Center Research Program (FCRP)
  6. Stanford Graduate Fellowship
  7. Direct For Mathematical & Physical Scien
  8. Division Of Physics [830228] Funding Source: National Science Foundation
  9. Div Of Electrical, Commun & Cyber Sys
  10. Directorate For Engineering [0950305] Funding Source: National Science Foundation

Ask authors/readers for more resources

A physics-based compact device model is developed for the conducting-bridge random-access memory (CBRAM). By considering the dependence of ion migration velocity on the electric field, the vertical and lateral growth/dissolution dynamics for the metallic filament are investigated. Both time-dependent transient and quasi-static switching characteristics of the CBRAM are captured. Moreover, the I-V characteristics of the CBRAM can be reproduced. By further considering the compliance effect on the size of the metallic filament, the ON-state resistance modulation is fitted, and the multilevel capability is included in the model. This model is verified by the experiments data from the Ag/Ge0.3Se0.7-based CBRAM cells. This model reveals that experimentally measured switching parameters such as the threshold voltage and the cell resistance are dynamic quantities that depend on the programming duration time. The time-dependent switching process of the CBRAM is quantified, thus paving the way for a compact SPICE model for circuit simulation.

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