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[Author] Takeo IKEZAWA(2hit)

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  • Molecular Dynamics Calculation Studies of Interstitial-Si Diffusion and Arsenic Ion Implantation Damage

    Masami HANE  Takeo IKEZAWA  Akio FURUKAWA  

     
    PAPER-Process Modeling and Simulation

      Vol:
    E83-C No:8
      Page(s):
    1247-1252

    Silicon self-interstitial atom diffusion and implantation induced damage were studied by using molecular dynamics methods. The diffusion coefficient of interstitial silicon was calculated using molecular dynamics method based on the Stillinger-Weber potential. A comparison was made between the calculation method based on the Einstein relationship and the method based on a hopping analysis. For interstitial silicon diffusion, atomic site exchanges to the lattice atoms occur, and thus the total displacement-based calculation underestimates the ideal value of the diffusivity of the interstitial silicon. In addition with calculating the diffusion constant, we also identified its migration pathway and barrier energy in the case of Stillinger-Weber potential. Through a study of molecular dynamics calculation for the arsenic ion implantation process, it was found that the damage self-recovering process depends on the extent of damage. That is, damage caused by a single large impact easily disappears. In contrast, the damage leaves significant defects when two large impacts in succession cause an overlapped damage region.

  • Three Dimensional MOSFET Simulation for Analyzing Statistical Dopant-Induced Fluctuations Associated with Atomistic Process Simulator

    Tatsuya EZAKI  Takeo IKEZAWA  Akio NOTSU  Katsuhiko TANAKA  Masami HANE  

     
    INVITED PAPER

      Vol:
    E86-C No:3
      Page(s):
    409-415

    A realistic 3-D process/device simulation method was developed for investigating the fluctuation in device characteristics induced by the statistical nature of the number and position of discrete dopant atoms. Monte Carlo procedures are applied for both ion implantation and dopant diffusion/activation simulations. Atomistic potential profile for device simulation is calculated from discrete dopant atom positions by incorporating the long-range part of Coulomb potential. This simulation was used to investigate the variations in characteristics of sub-100 nm CMOS devices induced by realistic dopant fluctuations considering practical device fabrication processes. In particular, sensitivity analysis of the threshold voltage fluctuation was performed in terms of the independent dopant contribution, such as that of the dopant in the source/drain or channel region.