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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concurrent oxygen evolution reaction pathways revealed by high-speed compressive Raman imaging

Frédéric Kanoufi, Davide Romanin, Alex W. Chin, Jean‐François Lemineur et al.
15 citations
Nature Communications
Advanced Memory and Neural Computing
3.13
article

Concurrent oxygen evolution reaction pathways revealed by high-speed compressive Raman imaging

Frédéric Kanoufi, Davide Romanin, Alex W. Chin, Jean‐François Lemineur, Sylvain Gigan, Raj Pandya, Hilton B. de Aguiar, Florian Dorchies, Alexis Grimaud
article en
15 citations

Abstract

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.

Nature CommunicationsVol. 15(1)
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)
Agence Nationale de la Recherche, Grand Équipement National De Calcul Intensif, Sorbonne Université, Clare College, University of Cambridge
Clean water and sanitation
Openalex Percentile: Top 8%
Advanced Memory and Neural Computing
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.