Achieving predictive accuracy involves several approaches:
Computational Modeling: Simulations using quantum mechanics, molecular dynamics, and other computational techniques to predict nanoparticle behavior. Machine Learning: Utilizing algorithms to predict outcomes based on large datasets of nanomaterial properties and behaviors. Experimental Validation: Conducting laboratory experiments to validate and refine computational models.
