Traditionally, the discovery of new nanomaterials has been a trial-and-error process that is both time-consuming and resource-intensive. Machine learning models can analyze vast datasets to identify patterns and relationships that may not be obvious to human researchers. AI can predict the properties of potential new materials, suggesting which combinations of atoms and molecules might lead to desirable characteristics such as high strength, flexibility, or electrical conductivity.
