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Found 2 papers, 1 papers with code
Human Perception-Inspired Grain Segmentation Refinement Using Conditional Random Fields
Accurate segmentation of interconnected line networks, such as grain boundaries in polycrystalline material microstructures, poses a significant challenge due to the fragmented masks produced by conventional computer vision algorithms, including convolutional neural networks.
Critical cooling rates for amorphous-to-ordered complexion transitions in Cu-rich nanocrystalline alloys
Amorphous complexions in nanocrystalline metals have the potential to improve mechanical properties and radiation tolerance, as well as resistance to grain growth.
Materials Science
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