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Machine Learning-Based Classification of Dislocation Microstructures
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
doi:10.3389/fmats.2019.00141
fatcat:sf6i6obfh5f4rja2wwmduyjb3e