What Are Some Common Stochastic Models Used in Catalysis?
Several stochastic models are employed to study catalytic processes:
1. Monte Carlo simulations: These are used to model the probabilistic behavior of molecules on a catalyst surface. 2. Markov chains: These are useful for modeling systems where the future state depends only on the current state and not on the sequence of events that preceded it. 3. Gillespie algorithm: This is often used in chemical kinetics to simulate the time evolution of a set of reactions.
