How is Technology Driving Innovation in Catalysis?
Advances in [computational chemistry]() and [machine learning]() have revolutionized the way catalysts are designed and optimized. Computational models allow for the prediction of catalyst behavior and the identification of promising materials before they are synthesized. Machine learning algorithms can analyze vast datasets to uncover patterns and optimize catalyst performance. These technologies reduce the time and cost associated with catalyst development.
