Journal of Undergraduate Research


crystallographic constraints, percolation, characterizing GBN


Ira A. Fulton College of Engineering and Technology


Mechanical Engineering


Within polycrystalline materials (e.g. metals and ceramics), grain boundary networks (GBN) influence the effective properties such as diffusion, conductivity, and crack and creep propagation1. In precision applications such as jet engine turbine blades and solid oxide fuel cells, understanding and characterizing GBN are essential for better design. Modeling GBN allow for better exploration of the complex space of possible networks (figure 1d)2. By modeling grains in a honeycomb lattice (figure 1a), grain boundaries can be identified by their misorientation angle (figure 1b). This can be a key indicator of the grain boundary’s properties. By combining information of the entire GBN, the effective properties can be determined.