Abstract:
The paper is devoted to the modeling of thin films surface growth. A short review of existing approaches and models is given. An original model of thin films surface growth is proposed representing stochastic cellular automata and allowing investigation of influence of wafer temperature, deposition rate and time on the morphology parameters of a surface. Comparison simulation results with atomic-force microscopy of experimentally received thin films samples are given.