Predictive models are crucial because they help scientists and engineers to understand how nanomaterials will behave in various conditions without the need for extensive empirical testing. This is particularly important in nanotechnology, where experimental procedures can be time-consuming and expensive. They enable the optimization of material properties and the development of new applications more efficiently.
