AI algorithms enhance nanomaterial design by employing predictive modeling techniques. These algorithms can predict how changes in molecular structures will affect material properties. By integrating AI with computational chemistry, scientists can simulate countless molecular combinations quickly, thus identifying the most promising candidates for further experimental testing.
