Machine Learning-Based Classification of Dislocation Microstructures

Dominik Steinberger, Hengxu Song, Stefan Sandfeld
2019 Frontiers in Materials  
Dislocations-the carrier of plastic deformation-are responsible for a wide range of mechanical properties of metals or semiconductors. Those line-like objects tend to form complex networks that are very difficult to characterize or to link to macroscopic properties on the specimen scale. In this work a machine learning based approach for classification of coarse-grained dislocation microstructures in terms of different dislocation density field variables is used. The performance of the model
more » ... nce of the model combined with domain knowledge from the underlying physics helps to shed light on the interplay between coarse-graining voxel size and the set of suitable or even required density variables for a faithful microstructure characterization.
doi:10.3389/fmats.2019.00141 fatcat:sf6i6obfh5f4rja2wwmduyjb3e