AI employs various techniques to optimize catalysts, including:
Machine Learning: Algorithms analyze experimental data to identify patterns and predict the performance of different catalysts. Molecular Modeling: AI-driven simulations predict how catalysts interact with substrates, helping to design more effective catalysts. High-Throughput Screening: AI automates the screening of vast libraries of potential catalysts, quickly identifying the most promising candidates.
