In the field of nanotechnology, the properties and behaviors of materials at the nanoscale can exhibit intricate, non-linear patterns. For instance, the electrical conductivity of graphene or the optical properties of quantum dots may vary in a non-linear fashion with respect to changes in size, shape, or composition. Polynomial regression provides a robust method to model these complex relationships effectively.
