How do crystalline grains morph, move, and evolve over time? In our latest paper published in Acta Materialia, we address a major bottleneck in materials science: tracking individual grains across complex time-resolved 2D and 3D datasets. To overcome challenges like sample deformation and topological shifts, we introduced a new tracking algorithm. By transforming the microstructure into a network of nodes and boundaries, these tools allow for unprecedented quantitative analysis of temporal evolution.
Read more at Acta Materialia →
