Achieving generalization often involves developing robust models and frameworks that can predict the behavior of nanomaterials in various contexts. This can be facilitated through the use of computational simulations and machine learning techniques. Additionally, interdisciplinary collaboration is essential to combine knowledge from physics, chemistry, biology, and engineering.