Big–deep–smart data in imaging for guiding
Sergei V. Kalinin1,2*, Bobby G. Sumpter1,2,3 and Richard K. Archibald1,3
Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of
advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data
in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically
focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate
to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.