Several types of data are critical for data-driven catalysis, including:
Experimental data: Measurements of catalytic activity, selectivity, and stability under various conditions. Computational data: Results from density functional theory (DFT) calculations, molecular dynamics simulations, and other modeling techniques. Descriptors: Quantitative descriptions of catalyst properties, such as surface area, electronic structure, and binding energies.
