Data models are invaluable in the design of new nanomaterials. They help in: 1. Material Selection: By predicting the properties of different materials, models can suggest the best candidates for specific applications. 2. Optimization: They allow for the optimization of material properties by simulating various conditions and compositions. 3. Scalability: Models can predict how materials will behave when scaled up from laboratory conditions to real-world applications.
