Electrocatalytic oxygen reduction reaction (ORR) finds important applications as the cathodic reaction in hydrogen fuel cells or metal-air batteries. However, its slow kinetics even on the most active catalysts requires an understanding of the reaction mechanism for the cost-effective catalyst search.The first insight into the reaction mechanism can be obtained via the rotation ring disk electrode experiment (RRDE), which can be used to extract information about the reaction kinetics. A substantial amount of experimental work has been carried out in this field with various reaction mechanisms proposed. In many cases, they show a similar level of agreement with the experimental data, because ORR is a complex reaction, while the only intermediate observed experimentally is H2O2 (HO2 - in alkali). More accurate results may be obtained within the mean-field microkinetic modeling approach (MF-MKM). It is built upon the Butler-Volmer formalism for the charge-transfer steps, the law of mass action for the chemical steps, mass transfer equations for the reaction intermediates in the electrolyte, and various interactions between the adsorbed species (Langmuir, Frumkin, and Temkin isotherms).However, for the complex reactions, even the simplest numerical models have numerous parameters, such as forward/backward rate constants of the proposed reaction steps. They are usually adjusted manually, or fitted to the experimental data using the local optimization methods. The main drawback of both these approaches is that one should have prior knowledge of the approximate model parameters, i.e. guess the reaction pathway. While being successful for relatively simple models, it can be hardly done for the more complicated cases. Additionally, the uncertainty in the estimated model parameters is introduced from the errors in experimental data.In this work, we describe the quantitative framework for the reaction mechanism selection based on model parameters uncertainty quantification via the Tree-Structured Parzen estimator algorithm and accuracy of fitting of available experimental data by the suggested reaction mechanism within the MF-MKM formalism. So it provides the elucidation of the reaction mechanism which can be considered based on the available experimental data and should be crucial to study the reaction mechanism of ORR and other sufficiently complex reactions.
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