The development of highly active oxygen evolution reaction (OER) electrocatalysts is one of the most important issues for advanced water electrolysis technology with high energy efficiency. However, according to the conventional adsorbate evolution mechanism (AEM), the OER activity is theoretically limited with high overpotential by the scaling relationship in binding energies of the reaction intermediates. We propose an attractive strategy to promote OER activity by direct O-O coupling at the interfacial active sites for Ag (x) nanoparticles decorated on La1-xNiO3perovskite electrocatalysts (Ag/LNO-x). The overpotential of the Ag/LNO-0.05 was 315 mV at a current density of 10 mA cm-2geo, which was much lower than that of other Ag/LNO-x (x = 0, 0.3, and 0.5) and commercial iridium oxide (IrO2, 398 mV) electrocatalysts. The theoretical calculation revealed that the improved OER electrocatalytic activity of Ag/LNO-x originated from a change in the reaction mechanism at the interfacial active sites. At the interface, oxygen evolution via the dual-site mechanism with direct O-O coupling becomes more favorable than that via the conventional AEM. Finally, due to the formation of the interfacial active sites, the synthesized Ag/LNO-0.05 electrocatalyst showed significantly enhanced OER activity, which was 20 times higher mass activity before and 74 times after an accelerated durability test than that of the IrO2electrocatalyst.
|Number of pages||11|
|Journal||ACS Applied Energy Materials|
|Publication status||Published - 2022 Dec 26|
Bibliographical noteFunding Information:
This research was supported by the KRICT projects (no. SI2211-30) from Korea Research Institute of Chemical Technology (KRICT). This research was supported by the Ministry of Trade, Industry and Energy (MOTIE), Korea, under “Digital Manufacturing Platform” (no. P0022331) supervised by the Korea Institute for Advancement of Technology (KIAT). This research (the computational part) was also supported by the 2021 Research Fund of the University of Seoul. Calculations were performed using the computational resources of the Urban Big Data and AI Institute (UBAI) at the University of Seoul.
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All Science Journal Classification (ASJC) codes
- Chemical Engineering (miscellaneous)
- Energy Engineering and Power Technology
- Materials Chemistry
- Electrical and Electronic Engineering