Catalytic systems often involve complex, dynamic interactions at the molecular level. Factors such as temperature fluctuations, reaction intermediates, and surface defects introduce uncertainties. A probabilistic approach allows scientists to model these uncertainties, offering more accurate predictions and insights into how catalysts function under varying conditions.
