How is Computational Chemistry Impacting Catalysis?
The application of computational chemistry has revolutionized the way catalysts are designed and optimized. Through high-throughput screening and machine learning algorithms, researchers can predict the behavior of potential catalysts before synthesizing them. This accelerates the discovery process and reduces costs associated with experimental trials. Furthermore, computational tools help elucidate reaction mechanisms, providing insights that guide the rational design of next-generation catalysts.
