How Do AI and ML Aid in Characterizing Nanomaterials?
Characterizing nanomaterials involves understanding their structure, composition, and properties. AI and ML facilitate this process by automating the analysis of complex data obtained from techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic force microscopy (AFM). ML models can classify images, identify features, and detect anomalies with high accuracy. This automation accelerates the characterization process, providing researchers with rapid insights into the nanoscale world.
