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Toward automated classification of monolayer versus few-layer nanomaterials using texture analysis and neural networks

Physics

Toward automated classification of monolayer versus few-layer nanomaterials using texture analysis and neural networks

S. H. Aleithan and D. Mahmoud-ghoneim

This research conducted by Shrouq H. Aleithan and Doaa Mahmoud-Ghoneim delves into the cutting-edge automated classification of nanostructures using texture analysis and neural networks, achieving impressive accuracy rates. Discover how advanced techniques like run-length matrix enhance our understanding of monolayer and few-layer MoS2 and WS2!

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