One of the most significant contributions of AI and ML in nanotechnology is material discovery. Traditional methods of discovering new materials can be time-consuming and resource-intensive. However, with AI and ML, researchers can analyze vast datasets to identify patterns and predict the properties of potential new materials. These algorithms can screen millions of potential compounds quickly, narrowing down the list to the most promising candidates for experimental validation.
