• DocumentCode
    1759468
  • Title

    Analytical Method to Evaluate Soft Error Rate Due to Alpha Contamination

  • Author

    Kaouache, A. ; Wrobel, F. ; Saigne, F. ; Touboul, A.D. ; Schrimpf, R.D.

  • Author_Institution
    Univ. Montpellier 2, Montpellier, France
  • Volume
    60
  • Issue
    6
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4059
  • Lastpage
    4066
  • Abstract
    An analytical model for the alpha-particle induced soft-error of SRAMs provides an expression based on the disintegration law of radioactive elements. Since highly scaled technologies are very sensitive to alpha particles, this model assumes that the critical charge is sufficiently low that all alpha particles that reach sensitive devices are capable of producing upsets. We discuss its validation for different technologies by comparing the error rate due to uranium and thorium contamination with that obtained from Monte Carlo simulations. This model shows a very good approximation for the nodes below 65 nm, and it is useful to predict the soft error rate for highly integrated technologies. The soft error expression allows us to study the effects of decay chain disequilibrium produced by enrichment of a radioactive element and its radioactive daughters on the error rate without having to run MC simulations that are costly in time.
  • Keywords
    Monte Carlo methods; SRAM chips; contamination; radiation hardening (electronics); MC simulations; Monte Carlo simulations; SRAMs; alpha contamination; alpha-particle induced soft-error; analytical method; decay chain disequilibrium effect; radioactive daughters; radioactive elements; sensitive devices; soft error rate evaluation; thorium contamination; uranium contamination; Alpha particles; Analytical models; Error analysis; Monte Carlo methods; SRAM chips; Silicon; Silicon compounds; Alpha particles; Monte Carlo simulation; SRAM; soft errors; technology node; thorium; uranium;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2013.2285401
  • Filename
    6665024