Big data in nanotechnology involves the aggregation and analysis of massive datasets from diverse sources. This data can include experimental results, simulation outputs, and published research. Big data techniques enable the integration of these datasets to extract meaningful insights and accelerate the development of new nanotechnologies. Techniques such as data mining, statistical analysis, and visualization play a crucial role in this process.
