Big data analytics is crucial for handling the enormous datasets generated in catalytic research. This includes data from high-throughput experiments, spectroscopic analyses, and computational simulations. Big data tools help in sorting, filtering, and analyzing this information to uncover trends and insights that can lead to breakthroughs in catalyst design and application.
