These systems rely on Machine Learning models trained on vast datasets to predict and control nanoscale behaviors. For instance, AI can optimize the synthesis of nanomaterials by predicting the best conditions for desired properties. Additionally, real-time monitoring and feedback loops allow for dynamic adjustments, ensuring high precision and efficiency.
