Fig. 1: A schematic showing the major steps of our ML method for autonomous microstructural characterization of 3D polycrystalline samples. | npj Computational Materials

Fig. 1: A schematic showing the major steps of our ML method for autonomous microstructural characterization of 3D polycrystalline samples.

From: Machine learning enabled autonomous microstructural characterization in 3D samples

Fig. 1

a Identification of local structures using topological classifiers. b Voxelization improves the processing efficiency and enables image-based processing techniques. c Thresholding enhances the distinction between microstructures and boundaries. d Clustering algorithm identifies individual microstructures. e Refinement process improves the size estimation and distribution of identified microstructures. c An optional back-mapping step transforms voxel data back to atomistic representation.

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