Title :
A detailed physical model for ion implant induced damage in silicon
Author :
Tian, Shiyang ; Morris, Michael F. ; Morris, Steven J. ; Obradovic, Borna ; Wang, Geng ; Tasch, Al F. ; Snell, Charles M.
Author_Institution :
Microelectron. Res. Center, Texas Univ., Austin, TX, USA
fDate :
6/1/1998 12:00:00 AM
Abstract :
A unified physically based ion implantation damage model has been developed which successfully predicts both the impurity profiles and the damage profiles for a wide range of implant conditions for arsenic, phosphorus, BF2, and boron implants into single-crystal silicon. In addition, the amorphous layer thicknesses predicted by this new damage model are also in excellent agreement with experimental measurements. This damage model is based on the physics of point defects in silicon, and explicitly simulates the defect production, diffusion, and their interactions which include interstitial-vacancy recombination, clustering of same type of defects, defect-impurity complex formation, emission of mobile defects from clusters, and surface effects for the first time. New computationally efficient algorithms have been developed to overcome the barrier of the excessive computational requirements. In addition, the new model has been incorporated in the UT-MARLOWE ion implantation simulator, and has been developed primarily for use in engineering workstations. This damage model is the most physical model in the literature to date within the framework of the binary collision approximation (BCA), and provides the required, accurate as-implanted impurity profiles and damage profiles for transient enhanced diffusion (TED) simulation
Keywords :
Monte Carlo methods; arsenic; boron; boron compounds; doping profiles; elemental semiconductors; ion beam effects; ion implantation; phosphorus; point defects; semiconductor process modelling; silicon; As implant; B implant; BF2 implant; P implant; Si:As; Si:B; Si:BF2; Si:P; UT-MARLOWE ion implantation simulator; amorphous layer thicknesses; binary collision approximation; clustering; damage profiles; defect diffusion; defect interactions; defect production; defect-impurity complex formation; engineering workstation use; impurity profiles; interstitial-vacancy recombination; ion implant induced damage; ion implantation damage model; mobile defects emission; physical model; point defects physics; single-crystal Si; transient enhanced diffusion simulation; Amorphous materials; Boron; Computational modeling; Implants; Impurities; Ion implantation; Physics; Predictive models; Silicon; Thickness measurement;
Journal_Title :
Electron Devices, IEEE Transactions on