• DocumentCode
    1629758
  • Title

    Kinetic Monte Carlo simulation of resistive switching and filament growth in electrochemical RRAMs

  • Author

    Pan, Feng ; Subramanian, Vivek

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
  • fYear
    2010
  • Firstpage
    255
  • Lastpage
    256
  • Abstract
    In recent years, Resistive Random Access Memory (RRAM) has received attention as a promising candidate for scaled memories. An atomic-scale simulation tool that can describe the dynamics of RRAM operation is still lacking. Using a two dimensional (2D) Kinetic Monte Carlo (KMC) method, we have simulated the switching I-V characteristic and related filament morphology of electrochemical metallic (ECM) type RRAMs. These are considered promising for both memory and configurable logic applications due to their low-power switching and very low resistance on-state. As a result, an understanding of the underlying physics and dependencies is particularly important. In our simulation, because most important physical and chemical processes, such as oxidation, reduction, metal crystallization, ion adsorption, desorption and transportation have been taken into account, the simulated I-V curve accurately shows all the typical RRAM SET stage behaviors, including the filament overgrowth effect.
  • Keywords
    Monte Carlo methods; electrochemical devices; random-access storage; I-V curve; atomic-scale simulation tool; configurable logic application; desorption; electrochemical RRAM; electrochemical metallic type RRAM; filament growth; filament morphology; ion adsorption; kinetic Monte Carlo simulation; low-power switching; metal crystallization; oxidation; reduction; resistive random access memory; resistive switching; scaled memories; switching I-V characteristic; transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Device Research Conference (DRC), 2010
  • Conference_Location
    South Bend, IN
  • ISSN
    1548-3770
  • Print_ISBN
    978-1-4244-6562-0
  • Electronic_ISBN
    1548-3770
  • Type

    conf

  • DOI
    10.1109/DRC.2010.5551973
  • Filename
    5551973