How Do Computational Models Complement Experimental Studies?
Computational models and experimental studies complement each other by providing a more comprehensive understanding of catalytic processes. While experiments offer empirical data and validation, computational models provide detailed mechanistic insights and predictions. Together, they enable a more efficient and targeted approach to catalyst development and optimization.
