Cracking the Code of RuO <sub>2</sub> Corrosion: A Theoretical Exploration of Potential‐Driven Switches Between Oxidative and Reductive Pathways

Ruthenium dioxide (RuO 2 ) is a benchmark catalyst for the oxygen evolution reaction (OER) in acidic media but suffers from slow dissolution under operating conditions, limiting its long‐term durability. Here, density functional theory combined with the computational hydrogen electrode model is employed to elucidate the atomistic mechanisms governing RuO 2 surface corrosion across a relevant potential window from 0 to 1.5 V standard hydrogen electrode (SHE) . The study reveals a potential‐dependent switch in dissolution pathways: at anodic potentials above 1.21 V SHE , direct oxidative dissolution leads to soluble RuO 4 , whereas at lower potentials, coupled proton–electron transfer reactions drive the formation of soluble hydroxylated species, specifically Ru(OH) 4 and RuO 2 (OH) 2 . Key surface intermediates act as energetic basins, regulating transient dissolution during potential cycling and shutdown. Furthermore, it is shown that doping RuO 2 with W, Ti, or Ir shifts the onset potentials for these corrosion pathways, enhancing surface stability by widening the potential window where the materials are stable. These insights advance the mechanistic understanding of RuO 2 degradation and support rational strategies for designing durable OER catalysts in acidic water‐splitting technologies.

Authors

Institutions

Publication Details

Journal
ChemElectroChem
Published
2025-10-09
DOI
https://doi.org/10.1002/celc.202500341
Citations
2
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.73

Funders

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

Cracking the Code of RuO 2 Corrosion: A Theoretical Exploration of Potential‐Driven Switches Between Oxidative and Reductive Pathways

Franziska Heß, Badr Elkamash
2 citations
ChemElectroChem
Electrocatalysts for Energy Conversion
0.73
article

Cracking the Code of RuO 2 Corrosion: A Theoretical Exploration of Potential‐Driven Switches Between Oxidative and Reductive Pathways

Franziska Heß, Badr Elkamash
article en
2 citations

Abstract

Ruthenium dioxide (RuO 2 ) is a benchmark catalyst for the oxygen evolution reaction (OER) in acidic media but suffers from slow dissolution under operating conditions, limiting its long‐term durability. Here, density functional theory combined with the computational hydrogen electrode model is employed to elucidate the atomistic mechanisms governing RuO 2 surface corrosion across a relevant potential window from 0 to 1.5 V standard hydrogen electrode (SHE) . The study reveals a potential‐dependent switch in dissolution pathways: at anodic potentials above 1.21 V SHE , direct oxidative dissolution leads to soluble RuO 4 , whereas at lower potentials, coupled proton–electron transfer reactions drive the formation of soluble hydroxylated species, specifically Ru(OH) 4 and RuO 2 (OH) 2 . Key surface intermediates act as energetic basins, regulating transient dissolution during potential cycling and shutdown. Furthermore, it is shown that doping RuO 2 with W, Ti, or Ir shifts the onset potentials for these corrosion pathways, enhancing surface stability by widening the potential window where the materials are stable. These insights advance the mechanistic understanding of RuO 2 degradation and support rational strategies for designing durable OER catalysts in acidic water‐splitting technologies.

ChemElectroChemVol. 12(21)
Technische Universität Berlin (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 28%
Electrocatalysts for Energy Conversion
0.73
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.