The advent of big data has significantly impacted nanotechnology research. Large datasets generated from experiments and simulations can be analyzed using data mining and machine learning techniques to uncover patterns and correlations that were previously unnoticed. This approach accelerates the discovery of new materials and the optimization of existing ones.
