What are the Common Data Sources in Nanotechnology?
Common data sources in nanotechnology include experimental data from scanning electron microscopy (SEM), atomic force microscopy (AFM), spectroscopy, and other characterization techniques. Additionally, computational data generated from simulations and theoretical models also play a vital role. These diverse datasets require sophisticated data science methods for effective analysis.