While stochastic models excel in capturing the variability and randomness of catalytic processes, they do not provide exact predictions. Instead, they offer probabilistic descriptions that can be used to estimate the likelihood of different outcomes. This probabilistic nature is invaluable in scenarios where precise control over reaction conditions is difficult.
