Data models in nanotechnology are structured frameworks that aid in the collection, organization, and analysis of data at the nanoscale. These models are essential for understanding complex phenomena, predicting material behavior, and designing new nanomaterials. They provide a systematic approach to handle the vast amount of data generated from experiments and simulations.
