About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Hume-Rothery Symposium: Interface Structure and Properties: Impact on Microstructure Evolution
|
| Presentation Title |
A Metric on Grain Boundary Networks |
| Author(s) |
Dylan Miley, Ethan Suwandi, Benjamin Schweinhart, Jeremy K. Mason |
| On-Site Speaker (Planned) |
Jeremy K. Mason |
| Abstract Scope |
Grain boundary network evolution is known to be highly sensitive to initial conditions, obscuring the dependence of grain boundary network geometry and topology on physical variables. While various statistical features of the grain boundary network are expected to be continuous with respect to physical variables, there has yet to be proposed a set of such features that is relevant to all polycrystalline systems and can consistently distinguish visually distinct grain boundary networks. A metric on the space of grain boundary networks is proposed such that two microstructures that are close with respect to the metric are statistically similar in every geometric respect below a user-specified length scale. Given a pair of micrographs, the metric is approximated by finding an optimal matching of windows that are randomly sampled from the two micrographs. The approach is used to show the viability of a general polycrystalline material microstructure database with a lookup capability. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Computational Materials Science & Engineering, |