• DocumentCode
    1019249
  • Title

    A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis

  • Author

    Kosina, Hans ; Selberherr, Siegfried

  • Author_Institution
    Inst. fur Microelectron., Tech. Univ. Wien, Austria
  • Volume
    13
  • Issue
    2
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    201
  • Lastpage
    210
  • Abstract
    A hybrid simulator suitable for modeling small semiconductor devices has been developed in which Monte Carlo and drift-diffusion models are combined. In critical device regions, the position-dependent coefficients of an extended drift-diffusion equation are extracted from a Monte Carlo simulation. Criteria for identifying these regions are described. Additional features which make the code more efficient are presented. First, a free-flight time calculation method using a new self-scattering algorithm is described. It allows for an efficient reduction of self-scattering events. Second, a unique Monte Carlo-Poisson coupling scheme has been developed which converges faster than all presently known schemes. It exploits the so-called Monte Carlo-drift diffusion coupling technique, which also forms the basis of the hybrid method. The simulator has been used to model submicron MOSFET´s with gate lengths down to 0.15 μm. In addition to the non-local effects occurring in these devices, the performance of the hybrid simulation method is analyzed
  • Keywords
    Monte Carlo methods; digital simulation; electronic engineering computing; insulated gate field effect transistors; semiconductor device models; 0.15 mum; 2D device simulator; MINIMOS program; Monte Carlo simulation; Monte Carlo-Poisson coupling scheme; Monte Carlo-drift diffusion coupling technique; critical device regions; drift-diffusion models; free-flight time calculation; gate length; hybrid device simulator; nonlocal effects; position-dependent coefficients; self-scattering algorithm; small semiconductor device modelling; submicron MOSFET; surface mobility; Analytical models; Boltzmann equation; Computational modeling; Conductors; Data mining; Diodes; Distribution functions; Monte Carlo methods; Performance analysis; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/43.259943
  • Filename
    259943