Empirical models are crucial because they provide a practical way to interpret experimental data and make predictions about catalytic reactions. They allow researchers and engineers to optimize catalysts, design better reactors, and scale up processes efficiently. Due to their data-driven nature, empirical models can be rapidly developed and adapted to new systems.
