Simulations in catalysis, such as molecular dynamics and quantum mechanics calculations, can be computationally intensive. Parallel algorithms enable these simulations to be broken down into smaller, independent tasks that can be processed simultaneously. This parallelization reduces the time required to achieve results, making complex simulations feasible and more practical.
