Model accuracy refers to the degree to which a computational or theoretical model can predict the actual performance of a catalytic system. High accuracy implies that the model's predictions are close to experimental observations. Accurate models enable researchers to understand the mechanisms of catalysis, optimize reaction conditions, and design new catalysts.
