Data is pivotal in catalysis research and development. It helps in understanding the mechanisms of catalytic processes, optimizing reaction conditions, and predicting the performance of new catalysts. Advanced computational tools and machine learning algorithms are increasingly being used to analyze vast datasets, leading to more informed decisions and accelerated discovery processes.
