Material discovery in nanotechnology is a labor-intensive process that involves numerous trials and errors. AI-driven processes leverage machine learning algorithms to predict the properties of new materials. By analyzing existing data, AI can forecast how certain nanomaterials will behave, significantly speeding up the discovery process. For example, deep learning models can predict the optimal conditions for synthesizing new nanomaterials with desired properties.
