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Data · dataset · 2026

Dual-Modulation Strategy in RuO<sub>x</sub> Improves Activity and Durability in Acidic Oxygen Evolution

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1021/jacs.6c12618.s001

Durable oxygen evolution catalysts are needed for proton-exchange-membrane water electrolyzers (PEMWEs) for hydrogen production.

Description

Ruthenium-based oxides offer high activity in acids but suffer from instability under oxidative conditions. Here, we study a dual-modulation approach intended to improve activity and durability together: we couple two functionally distinct dopants, one redox-active dopant that buffers metal overoxidation and one lattice-stabilizing dopant that suppresses structural degradation.

This strategy, studied using operando spectroscopy, isotope labeling, and density functional theory, provides a cooperative suppression of Ru overoxidation and lattice breakdown. Implemented in a Ru–Mn–Ti oxide system, the optimized composition, Ru<sub>0.7</sub>Mn<sub>0.1</sub>Ti<sub>0.2</sub>O<sub><i>x</i></sub>, reaches 143 mV overpotential at 10 mA cm<sup>–2</sup> and enables a proton exchange membrane water electrolyzer device to operate for 800 h at 1 A cm<sup>–2</sup> and 1.66 V with a degradation rate of 0.2 mV h<sup>–1</sup>.

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The approach may be useful for designing other multimetal oxide catalysts. We note that 800 h is short compared to the lifetimes that commercial electrolyzers require, so this work is one contribution along a longer community path rather than a demonstration of commercial durability.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 3 source records, 26 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/340455825 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/340455825 d agoJSON v1
DMU Figshareoai:figshare.com:article/340455825 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3104mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Evolutionary Biology']
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concepts[field].local:field:medicine-healthmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[method].local:method:dftmapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['density functional theory']
concepts[method].local:method:dftmapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['density functional theory']
concepts[method].local:method:dftmapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['density functional theory']
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