Yes, predictive algorithms are widely used to forecast the performance of catalysts under various conditions. By integrating experimental data with computational models, these algorithms can predict how changes in catalyst composition, structure, or reaction conditions will affect performance. This capability is invaluable for guiding experimental efforts and reducing the time and cost associated with catalyst development.
