The discovery of new nanomaterials often involves extensive experimental and computational efforts. AI can significantly streamline this process by analyzing large datasets generated from experiments and simulations. Machine learning models can identify patterns and relationships between the structure and properties of materials, enabling the prediction of new, high-performance nanomaterials without exhaustive trial and error.
