Yes, Bayesian inference can significantly enhance catalyst design. By systematically incorporating experimental observations and prior knowledge, researchers can create more accurate models of catalytic activity. This approach can lead to the identification of optimal catalyst compositions and operating conditions, ultimately improving the efficiency and efficacy of catalytic processes.
