Large datasets in catalysis are typically collected through a combination of high-throughput experimentation and computational simulations. In high-throughput experimentation, multiple experiments are conducted simultaneously using automated systems, allowing for the rapid generation of data. Computational methods, such as density functional theory (DFT) and molecular dynamics, are used to simulate catalytic processes and generate theoretical data that complements experimental findings.
