How Do AI Algorithms Accelerate Material Discovery?
AI algorithms, especially machine learning and deep learning models, are employed to sift through vast datasets to identify new materials with desirable properties. These algorithms can predict the properties of unknown materials by learning from existing data, thus significantly reducing the time and cost associated with experimental trials. For example, AI can help in the design of nanoparticles with specific optical or chemical properties, which are crucial for applications in drug delivery and imaging.
