AI techniques like machine learning and deep learning can predict the properties and behaviors of new nanomaterials, significantly speeding up the discovery process. By analyzing existing data, AI can suggest new material compositions that might offer better performance or novel properties, thereby reducing the need for trial-and-error experimentation.
