Beyond the top of the volcano? A unified approach to electrocatalytic oxygen reduction and oxygen evolution

0472523 - ÚFCH JH 2017 RIV US eng J - Článek v odborném periodiku
Busch, M. - Halck, N. B. - Kramm, U. I. - Siehrostami, S. - Krtil, Petr - Rossmeisl, J.
Beyond the top of the volcano? A unified approach to electrocatalytic oxygen reduction and oxygen evolution.
Nano Energy. Roč. 29, NOV 2016 (2016), s. 126-135. ISSN 2211-2855. E-ISSN 2211-3282
Institucionální podpora: RVO:61388955
Klíčová slova: hydrogen evolution * catalytic-activity * Electrocatalysis * Oxygen reduction * Oxygen evolution * Volcano * Density functional theory
Kód oboru RIV: CF - Fyzikální chemie a teoretická chemie
Impakt faktor: 12.343, rok: 2016

We study the oxygen reduction (ORR) and the oxygen evolution reaction (OER) and based on previous obtained mechanistic insight we provide a unified general analysis of the two reactions simultaneously. The analysis shows that control over at least two independent binding energies is required to obtain a reversible perfect catalyst for both ORR and OER. Often only the reactivity of the surface is changed by changing from one material to another and all binding energies scale with the reactivity. We investigate the limitation in efficiency imposed by these linear scaling relations. This analysis gives rise to a double volcano for ORR and OER, with a region in between, forbidden by the scaling relations. The reversible perfect catalyst for both ORR and OER would fall into this "forbidden region". Previously, we have found that hydrogen acceptor functionality on oxide surfaces can improve the catalytic performance for OER beyond the limitations originating from the scaling relations. We use this concept to search for promising combinations of binding sites and hydrogen donor/acceptor sites available in transition metal doped graphene, which can act as a catalyst for ORR and OER. We find that MnN4-site embedded in graphene by itself or combined with a COOH is a promising combination for a great combined ORR/OER catalyst. (C) 2016 Elsevier Ltd. All rights reserved.
Trvalý link: http://hdl.handle.net/11104/0269818