• DocumentCode
    608301
  • Title

    Investigation of stochastic implementation of reaction diffusion (RD) models for NBTI related interface trap generation

  • Author

    Naphade, T. ; Goel, Nishith ; Nair, P.R. ; Mahapatra, Santanu

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • fYear
    2013
  • fDate
    14-18 April 2013
  • Abstract
    Conventional H/H2 and poly H/H2 Reaction-Diffusion (RD) models are compared, and the poly version is explored as a more physically likely model for predicting interface trap (NIT) generation during Negative Bias Temperature Instability (NBTI) in p-MOSFETs. Stochastic implementations of the conventional H/H2 RD model and the poly H/H2 RD model are realized, and their equivalence to continuum implementations are investigated for large area devices. Impact of dimensionality (1D, 2D, 3D) and device size (W, L) are explored for stochastic implementation. Stochastic simulations for small area devices using the poly H/H2 RD model show long term 1/6 power law time exponent during stress. A comprehensive framework consisting of H/H2 RD model for NIT along with empirical models for hole trapping (NHT) and bulk trap generation (NOT) is able to predict experimental data for a wide variety of large area devices for different experimental conditions. Variation of small area device degradation has been simulated and compared to experimental results.
  • Keywords
    MOSFET; negative bias temperature instability; NBTI related interface trap generation; bulk trap generation; hole trapping; negative bias temperature instability; p-MOSFET; power law time exponent; reaction diffusion model; small area device degradation; stochastic implementation; stochastic simulation; DH-HEMTs; Data models; Mathematical model; Predictive models; Silicon; Stochastic processes; Stress; NBTI; RD model; hole trapping; interface trap generation; small area device; stochastic modeling; variable reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability Physics Symposium (IRPS), 2013 IEEE International
  • Conference_Location
    Anaheim, CA
  • ISSN
    1541-7026
  • Print_ISBN
    978-1-4799-0112-8
  • Electronic_ISBN
    1541-7026
  • Type

    conf

  • DOI
    10.1109/IRPS.2013.6532120
  • Filename
    6532120