AI enhances nanomaterial design by leveraging data from previous experiments to predict the properties of new materials. By using techniques such as machine learning and deep learning, AI algorithms can simulate various conditions and predict outcomes, reducing the need for costly and time-consuming experiments. This approach allows researchers to identify promising materials with desirable properties more quickly.
