• DocumentCode
    2712562
  • Title

    A new prediction method for ReRAM data retention statistics based on 3D filament structures

  • Author

    Wei, Z. ; Katayama, K. ; Muraoka, S. ; Yasuhara, R. ; Mikawa, T. ; Eriguchi, K.

  • Author_Institution
    Corp. Eng. Div., Panasonic Corp., Kyoto, Japan
  • fYear
    2015
  • fDate
    19-23 April 2015
  • Abstract
    Instead of wide distributed resistance for a single bit, we introduce non-fluctuating physical parameters, filament diameter and packing factor (corresponding to oxygen vacancy concentration) to describe ReRAM bit. The quantitative 3D percolation model is developed based on direct observation of the filament structure and hopping conduction, which is confirmed with ultra-low temperature (30 K) measurement. Moreover, we provide a simulation method to obtain quantitative filament diameter, packing factor and to do the prediction of the resistance distribution after retention, which is verified with experiment.
  • Keywords
    integrated circuit modelling; resistive RAM; 3D filament structures; 3D percolation model; ReRAM bit; ReRAM data retention statistics; filament diameter; hopping conduction; nonfluctuating physical parameters; oxygen vacancy concentration; packing factor; quantitative filament diameter; resistance distribution prediction; simulation method; ultralow-temperature measurement; Conductivity; Databases; Electrodes; Predictive models; Reliability; Resistance; Switches; ReRAM; filament; packing factor; percolation; retention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability Physics Symposium (IRPS), 2015 IEEE International
  • Conference_Location
    Monterey, CA
  • Type

    conf

  • DOI
    10.1109/IRPS.2015.7112745
  • Filename
    7112745