Data collection for nanomaterial datasets involves multiple methodologies:
Experimental methods: Laboratory-based techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). Computational simulations: Methods like density functional theory (DFT) and molecular dynamics (MD) simulations. Literature mining: Extracting data from published research articles and patents.
Researchers often use a combination of these methods to ensure the accuracy and comprehensiveness of the datasets.
