The design of catalysts often relies on manipulating the potential energy surface to favor certain transition states over others. With MUTL, scientists can explore different reaction mechanisms that might not be apparent when considering only a single transition state. By employing computational models and experimental data, researchers can predict and verify the most efficient pathways, leading to the tailoring of catalysts for specific reactions. This approach can lead to the development of novel materials with enhanced catalytic properties.
