On the switching parameter variation of metal-oxide RRAM - Part I: Physical modeling and simulation methodology

Ximeng Guan, Shimeng Yu, H. S.Philip Wong

Research output: Contribution to journalArticle

228 Scopus citations

Abstract

The variation of switching parameters is one of the major challenges to both the scaling and volume production of metal-oxide-based resistive random-access memories (RRAMs). In this two-part paper, the source of such parameter variation is analyzed by a physics-based simulator, which is equipped with the capability to simulate a large number (∼1000) of cyclic SET-RESET operations. By comparing the simulation results with experimental data, it is found that the random current fluctuation experimentally observed in the RESET processes is caused by the competition between trap generation and recombination, whereas the variation of the high resistance states and the tail bits are directly correlated to the randomness of the trap dynamics. A combined strategy with a bilayer dielectric material and a write-verification technique is proposed to minimize the resistance variation. We describe the simulation methodology and discuss the dc results in Part I. The corroboration of the model and the device optimization strategy will be discussed in Part II.

Original languageEnglish (US)
Article number6152140
Pages (from-to)1172-1182
Number of pages11
JournalIEEE Transactions on Electron Devices
Volume59
Issue number4
DOIs
StatePublished - Apr 1 2012

Keywords

  • Device modeling
  • dielectric breakdown
  • fluctuations
  • metal oxide
  • resistive switching memory (RRAM)
  • switching parameter variation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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