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Record W4416724538 · doi:10.1021/acs.nanolett.5c04491

Surface Hydroxyl Relay Promotes Acidic Water Oxidation

2025· article· en· W4416724538 on OpenAlexaff
Haolei Zhang, Chenwei Wang, Yichao Lin, Yin’an Zhu, Linjuan Zhang, Xiaowu Huang, Luming Peng, Ziqi Tian, Liang Chen

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsMinistry of Education and Child Care
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsCatalysisOverpotentialElectrolysis of waterRelayRutheniumBoronFormateIridiumSynergistic catalysis

Abstract

fetched live from OpenAlex

Ruthenium (Ru) is a promising iridium (Ir) alternative for proton exchange membrane water electrolysis (PEMWE), but Ru-based catalysts face an OER stability issue in acidic conditions. We addressed this using a hydroxyl relay strategy on RuO 2 surfaces via boron (B) doping. The three-coordinate B sites with empty p orbitals readily form coordination bonds with hydroxyl groups. These B sites relay *OH to neighboring Ru sites, facilitating the formation of the OOH intermediate, lowering the OER energy barrier, and preventing Ru overoxidation. Furthermore, the B dopants create a robust B–O–Ru local structure, which significantly stabilizes the catalyst framework. Consequently, the B-doped RuO 2 nanosheets (B-RuO 2 NS) show an ultralow overpotential (190 mV at 10 mA cm –2 ) and exceptional stability (1600 h at 10 mA cm –2, 200 h at 1 A cm –2 ). This work demonstrates how targeted hydroxyl relay engineering can simultaneously enhance activity and stability, offering a viable pathway to develop high-performance and durable Ru catalysts for industrial PEMWE applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.207
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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