Data modeling helps in predicting the properties and behaviors of nanoparticles, which can be extremely complex due to quantum effects and other nanoscale phenomena. Accurate models can save significant time and resources by reducing the need for extensive experimental testing, thereby accelerating the development of new nanodevices and applications.
