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Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images

Roberto Perera, Davide Guzzetti, Vinamra Agrawal

2021Computational Materials Science42 citationsDOIOpen Access PDF

Topics & Concepts

Convolutional neural networkMaterials scienceRGB color modelMicrostructureEncoderArtificial intelligenceComputer scienceSegmentationGrain boundaryBiological systemPattern recognition (psychology)Composite materialOperating systemBiologyAdditive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesMachine Learning in Materials Science
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images | Litcius