We present results on the development of an anisotropic crystalline etching
simulation (ACES) program based on a new continuous Cellular Automata (CA)
model, which provides improved spatial resolution and accuracy compared wi
th the conventional and the stochastic CA methods. Implementation of a dyna
mic CA technique provides increased simulation speed and reduced memory req
uirement (5x). A first AGES software based on common personal computer plat
forms has been realized. Simulated results of etching match well with exper
iments. We have developed a new methodology to obtain the etch-rate diagram
of anisotropic etching efficiently using both experimental and numerical t
echniques.