Monte Carlo simulations are a class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are particularly useful for systems with a large number of coupled degrees of freedom, such as fluids, disordered materials, and especially in the field of catalysis. By simulating random processes, Monte Carlo methods help in understanding and predicting the behavior of complex systems.
