• DocumentCode
    914047
  • Title

    A Self-Consistent Monte Carlo Particle Model to Analyze Semiconductor Microcomponents of any Geometry

  • Author

    Moglestue, C.

  • Author_Institution
    GEC Research Ltd., Hirst Research Centre, Wembley, Middlesex, U.K.
  • Volume
    5
  • Issue
    2
  • fYear
    1986
  • fDate
    4/1/1986 12:00:00 AM
  • Firstpage
    326
  • Lastpage
    345
  • Abstract
    A self-consistent Monte Carlo particle model to simulate semiconductor microcomponents of any geometry is presented. The model is aimed at a full understanding of the functioning of the device down to microscopic level. The simulation consists briefly of following the transport histories of individual carriers. The time of free flight, the frequencies of the various types of interaction between the lattice and the carriers and the scattering angles have distinct stochastic distributions. By choosing random numbers with the same distributions, it is possible to simulate carrier transport. After a review of semiconductor physics, the details of the method is explained. This is followed by examples, mainly from simulation of GaAs MESFET´s, to demonstrate some of the abilities of the model. The distributions of the carriers and fields are used to explain physical phenomena such as substrate currents and negative differential resistivity. The only parameters that enter the calculations are those describing the geometry of the device and those fundamental to the semiconductor, such as material constants, the phonon spectra and the band structure. Any adjustable, geometry dependent parameters do not enter the model.
  • Keywords
    Frequency; Geometry; History; Lattices; Microscopy; Monte Carlo methods; Particle scattering; Physics; Solid modeling; 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/TCAD.1986.1270203
  • Filename
    1270203