Modeling diffusion at the nanoscale requires adapting traditional models to account for quantum effects, surface phenomena, and the discrete nature of nanoparticles. Techniques such as Molecular Dynamics (MD) simulations and Monte Carlo methods are often employed. These models help predict the behavior of nanomaterials in various environments and optimize their performance in applications.
