An improved serial computation method is proposed for simulating ceramic grain growth at an
atomic scale. The data structure of a ternary tree is used to store orderly the atomic information and speed
up the editing of data. Combining with the idea of space partition, an index for space searching is
established to reduce the computation time. Simulation results demonstrate that the speed of the serial
computation is increased significantly and simulated images are in good agreement with micrographs of
practical ceramics. It is illustrated that kinetic exponents and fractal dimensions during the simulation of
grain growth are also reasonable in compare with quantitative analyses.