Researchers use several strategies to manage computational complexity in catalysis:
High-Performance Computing (HPC): Utilizing powerful supercomputers to handle large-scale simulations. Parallel Computing: Distributing computational tasks across multiple processors to reduce simulation time. Machine Learning: Employing machine learning algorithms to predict reaction outcomes and optimize catalyst design. Simplified Models: Developing simplified models that capture essential features of the system while reducing computational demands.
