The presence of defects in crystalline solids affects material properties, the precise knowledge of defect characteristics being highly desirable. Here the authors demonstrate a machine-learning outlier detection method based on distortion score as an effective tool for modelling defects in crystalline solids.
- Alexandra M. Goryaeva
- Clovis Lapointe
- Mihai-Cosmin Marinica
