Concurrent oxygen evolution reaction pathways revealed by high-speed compressive Raman imaging
Transition metal oxides are state-of-the-art materials for catalysing the oxygen evolution reaction (OER), whose slow kinetics currently limit the efficiency of water electrolysis. However, microscale physicochemical heterogeneity between particles, dynamic reactions both in the bulk and at the surface, and an interplay between particle reactivity and electrolyte makes probing the OER challenging. Here, we overcome these limitations by applying state-of-the-art compressive Raman imaging to uncover concurrent bias-dependent pathways for the OER in a dense, crystalline electrocatalyst, α-Li<sub>2</sub>IrO<sub>3</sub>. By spatially and temporally tracking changes in stretching modes we follow catalytic activation and charge accumulation following ion exchange under various electrolytes and cycling conditions, comparing our observations with other crystalline catalysts (IrO<sub>2</sub>, LiCoO<sub>2</sub>). We demonstrate that at low overpotentials the reaction between water and the oxidized catalyst surface is compensated by bulk ion exchange, as usually only found for amorphous, electrolyte permeable, catalysts. At high overpotentials the charge is compensated by surface redox active sites, as in other crystalline catalysts such as IrO<sub>2</sub>. Hence, our work reveals charge compensation can extend beyond the surface in crystalline catalysts. More generally, the results highlight the power of compressive Raman imaging for chemically specific tracking of microscale reaction dynamics in catalysts, battery materials, or memristors.
Authors
- Frédéric Kanoufi (ORCID: https://orcid.org/0000-0002-9784-2380)
- Davide Romanin (ORCID: https://orcid.org/0000-0003-1094-5369)
- Alex W. Chin (ORCID: https://orcid.org/0000-0001-7741-5915)
- Jean‐François Lemineur (ORCID: https://orcid.org/0000-0001-9635-2737)
- Sylvain Gigan (ORCID: https://orcid.org/0000-0002-9914-6231)
- Raj Pandya (ORCID: https://orcid.org/0000-0003-1108-9322)
- Hilton B. de Aguiar (ORCID: https://orcid.org/0000-0002-2426-0371)
- Florian Dorchies (ORCID: https://orcid.org/0000-0003-2300-7582)
- Alexis Grimaud (ORCID: https://orcid.org/0000-0002-9966-205X)
Institutions
- Boston College (US)
- Centre National de la Recherche Scientifique (FR)
- Université Paris Sciences et Lettres (FR)
- Université Paris-Saclay (FR)
- Laboratoire Kastler Brossel (FR)
- École Normale Supérieure - PSL (FR)
- University of Warwick (GB)
- Sorbonne Université (FR)
- Réseau sur le Stockage Electrochimique de l'énergie (FR)
- Bridge University (SS)
- Centre de Nanosciences et de Nanotechnologies (FR)
- Interfaces Traitements Organisation et Dynamique des Systèmes (FR)
- Chimie du Solide et Energie (FR)
- Institut des NanoSciences de Paris (FR)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41467-024-52536-7
- Citations
- 15
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Agence Nationale de la Recherche
- Grand Équipement National De Calcul Intensif
- Sorbonne Université
- Clare College, University of Cambridge