Dataset on statistical convergence of generated microstructures in diffusion studies

This dataset provides measurements of effective diffusion coefficients in polycrystalline networks with different grain sizes and attribution methods. Four attribution methods—random, constrained triple junction, closed grains, and hybrid—were applied to networks with grain sizes of 7 μm and 0.7 μm. For each combination, 50 simulations were performed to obtain stable average effective diffusion coefficients and their standard deviations. The dataset includes tables summarizing the average diffusion coefficients and standard deviations for all attribution methods and grain sizes. These data can be reused to validate diffusion models, optimize computational simulations, and support studies of grain boundary effects on diffusion in polycrystalline materials.