Several factors contribute to the growing volume of data in catalysis:
High-throughput experimentation: Modern techniques allow for the rapid generation of large datasets, screening numerous catalysts under various conditions. Advanced characterization tools: Techniques such as X-ray diffraction, spectroscopy, and electron microscopy produce vast amounts of detailed structural and functional data. Computational simulations: Ab initio calculations, molecular dynamics, and other modeling approaches generate significant data volume, offering insights into reaction mechanisms and catalytic properties.
