What methodologies are used in thorough searches for novel catalysts?
Researchers employ various methodologies for thorough searches, including high-throughput screening, computational modeling, and machine learning. High-throughput screening allows for the rapid testing of a vast number of catalysts under different conditions. Computational modeling helps in predicting the behavior of potential catalysts, reducing the need for extensive experimental trials. Machine learning algorithms can analyze large datasets to identify patterns and suggest new catalyst candidates.
