Computational methods, such as quantum chemistry and molecular dynamics simulations, play a crucial role in understanding and optimizing catalytic processes. These methods can predict how different catalysts will behave under various conditions, allowing for the design of more efficient catalysts. By doing so, they help minimize the risk of delayed reactions and the associated costs.
