Catapp uses advanced algorithms and machine learning techniques to analyze vast amounts of data related to catalytic processes. By integrating input from experimental data, quantum chemical calculations, and kinetic modeling, the application can predict the behavior of potential catalysts under various conditions. This predictive capability helps in reducing the trial-and-error approach traditionally used in catalyst development.
