We review our recent work on an atomistic approach to the development of pr
edictive process simulation tools. First-principles methods, molecular dyna
mics simulations, and experimental results are used to construct a database
of defect and dopant energetics in Si. This is used as input for kinetic M
onte Carlo simulations. C and B trapping of the Si self-interstitial is sho
wn to help explain the enormous disparity in its measured diffusivity. Exce
llent agreement is found between experiments and simulations of transient e
nhanced diffusion following 20-80 keV B implants into Si, and with those of
50 keV Si implants into complex B-doped structures. Our simulations predic
t novel behavior of the time evolution of the electrically active B fractio
n during annealing. (C) 2000 Published by Elsevier Science S.A. All rights
reserved.