Several types of predictive models are employed in nanotechnology:
Molecular Dynamics (MD): Simulates the physical movements of atoms and molecules over time. Density Functional Theory (DFT): Used to investigate the electronic structure of nanomaterials. Machine Learning Models: Utilize large datasets to train algorithms to predict material properties and behaviors. Statistical Models: Apply statistical methods to predict outcomes based on empirical data.
