What are the Challenges in Integrating Data Science with Nanotechnology?
One of the main challenges is the complexity and heterogeneity of nanoscale data. Different characterization techniques produce data in various formats and resolutions, making integration difficult. Additionally, there is a need for specialized algorithms that can handle the unique properties of nanomaterials. Ensuring data quality and reproducibility is also a significant concern.
