Large datasets are essential because they enable researchers to identify patterns, make predictions, and uncover new insights. They are particularly important in nanotechnology because the properties of nanomaterials can be vastly different from their bulk counterparts. By analyzing large datasets, scientists can optimize the design and synthesis of nanomaterials for specific applications such as drug delivery, energy storage, and environmental remediation.
